World's Best Scientists 2026 revealed!
Ying-Yong Zhao

Ying-Yong Zhao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Biology and Biochemistry 72 6460 5961 205 200 184 14181

Ying-Yong Zhao publications per year

The chart shows the history of publications by Ying-Yong Zhao between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ying-Yong Zhao published across 26 years, from 2000 to 2025, averaging 9.8 papers a year. Output peaked at 28 publications in 2025. 40 of the 254 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2025. 2000: 1 publication 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 1 publication 2006: 1 publication 2007: 0 publications 2008: 0 publications 2009: 7 publications 2010: 6 publications 2011: 13 publications 2012: 17 publications 2013: 24 publications 2014: 16 publications 2015: 10 publications 2016: 9 publications 2017: 13 publications 2018: 15 publications 2019: 22 publications 2020: 18 publications 2021: 13 publications 2022: 11 publications 2023: 17 publications 2024: 12 publications 2025: 28 publications
2000 2025

254 publications in total across all disciplines

View publications per year as a table
Ying-Yong Zhao: publications per year, 2000 to 2025
Year Publications
2000 1
2001 0
2002 0
2003 0
2004 0
2005 1
2006 1
2007 0
2008 0
2009 7
2010 6
2011 13
2012 17
2013 24
2014 16
2015 10
2016 9
2017 13
2018 15
2019 22
2020 18
2021 13
2022 11
2023 17
2024 12
2025 28
Total 254
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Ying-Yong Zhao publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Ying-Yong Zhao sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 100 bars. Horizontal axis: publications, 47–56 to 1,028+. Vertical axis: number of scientists, 0 to 980. Most scientists, 980, have 127–136 publications. The last bar groups every scientist with 1,028 publications or more. The highlighted bar, 177–186 publications, is where this scientist sits. 47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientist 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientist 1,028+ publications: 100 scientists
47–56 publications 1,028+

This scientist: 184 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

View publications distribution as a table
Number of Biology and Biochemistry scientists by publication count, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
Publications Scientists This scientist
47–56 8
57–66 35
67–76 106
77–86 231
87–96 413
97–106 546
107–116 704
117–126 848
127–136 980
137–146 942
147–156 969
157–166 949
167–176 951
177–186 915 184
187–196 787
197–206 840
207–216 733
217–226 708
227–236 651
237–246 605
247–256 510
257–266 524
267–276 434
277–286 417
287–296 350
297–306 363
307–316 315
317–326 296
327–336 261
337–346 240
347–356 219
357–366 196
367–376 154
377–386 161
387–396 155
397–406 145
407–416 124
417–426 112
427–436 132
437–446 116
447–456 99
457–466 81
467–476 91
477–486 80
487–496 80
497–506 59
507–516 36
517–526 46
527–536 54
537–546 44
547–556 43
557–566 43
567–576 42
577–586 25
587–596 34
597–606 23
607–616 33
617–626 31
627–636 27
637–646 25
647–656 28
657–666 34
667–676 18
677–686 16
687–696 10
697–706 12
707–716 21
717–726 12
727–736 12
737–746 10
747–756 7
757–766 13
767–776 15
777–786 13
787–796 9
797–806 9
807–816 7
817–826 4
827–836 9
837–846 7
847–856 3
857–866 5
867–876 5
877–886 11
887–896 3
897–906 4
907–916 7
917–926 5
927–936 6
937–946 6
947–956 3
957–966 7
967–976 2
977–986 2
987–996 1
997–1,006 5
1,007–1,016 2
1,017–1,026 2
1,027 1
1,028+ 100
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Ying-Yong Zhao D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Ying-Yong Zhao sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 65 bars. Horizontal axis: D-Index, 40–41 to 167+. Vertical axis: number of scientists, 0 to 1,253. Most scientists, 1,253, have 58–59 D-Index. The last bar groups every scientist with 167 D-Index or more. The highlighted bar, 72–73 D-Index, is where this scientist sits. 40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40–41 D-Index 167+

This scientist: 72 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

View D-Index distribution as a table
Number of Biology and Biochemistry scientists by D-index, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
D-Index Scientists This scientist
40–41 80
42–43 183
44–45 316
46–47 504
48–49 718
50–51 899
52–53 1,025
54–55 1,149
56–57 1,235
58–59 1,253
60–61 1,162
62–63 1,130
64–65 1,031
66–67 897
68–69 814
70–71 714
72–73 709 72
74–75 596
76–77 512
78–79 473
80–81 412
82–83 373
84–85 358
86–87 285
88–89 273
90–91 227
92–93 208
94–95 193
96–97 153
98–99 157
100–101 148
102–103 120
104–105 113
106–107 100
108–109 86
110–111 67
112–113 71
114–115 73
116–117 64
118–119 53
120–121 60
122–123 54
124–125 43
126–127 38
128–129 49
130–131 26
132–133 18
134–135 23
136–137 32
138–139 32
140–141 27
142–143 19
144–145 22
146–147 12
148–149 16
150–151 14
152–153 10
154–155 13
156–157 10
158–159 7
160–161 9
162–163 13
164–165 4
166 4
167+ 98
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Overview

Ying-Yong Zhao is affiliated with Northwest University in China and has contributed extensively to the fields of Medicine and Biochemistry, Genetics and Molecular Biology. Their research spans multiple subfields including Molecular Biology, Nephrology, Pharmacology, Cancer Research, and Pulmonary and Respiratory Medicine.

The scientist's research focuses on a range of topics with particular emphasis on chronic kidney disease and diabetes, renal diseases and glomerulopathies, gut microbiota and health, tryptophan and brain disorders, liver disease diagnosis and treatment, diet and metabolism studies, and metabolomics and mass spectrometry studies.

Key recent publications by Ying-Yong Zhao include:

  • Wnt signaling pathway in aging-related tissue fibrosis and therapies, 2020, Ageing Research Reviews
  • AGE/RAGE in diabetic kidney disease and ageing kidney, 2021, Free Radical Biology and Medicine
  • Gut microbiota-derived tryptophan metabolism mediates renal fibrosis by aryl hydrocarbon receptor signaling activation, 2020, Cellular and Molecular Life Sciences
  • Transforming growth factor-β signaling: From tissue fibrosis to therapeutic opportunities, 2022, Chemico-Biological Interactions
  • Lactobacillus species ameliorate membranous nephropathy through inhibiting the aryl hydrocarbon receptor pathway via tryptophan-produced indole metabolites, 2023, British Journal of Pharmacology

Frequent co-authors collaborating with Zhao include Hua Miao, Yanni Wang, Liang Zou, Yan Guo, and Xiao-Yong Yu.

Ying-Yong Zhao has published regularly in several scientific journals. The most common publication venues are Frontiers in Pharmacology, Free Radical Biology and Medicine, Chemico-Biological Interactions, Acta Pharmacologica Sinica, and Ageing Research Reviews.

In addition to research articles, Zhao has contributed to book publications. One such book is titled Applications of Herbal, published by Frontiers Media in 2023.

Best Publications

  • New insights into TGF-β/Smad signaling in tissue fibrosis.

    He-He Hu;Dan-Qian Chen;Yan-Ni Wang;Ya-Long Feng

  • Altered intestinal microbial flora and impaired epithelial barrier structure and function in CKD: the nature, mechanisms, consequences and potential treatment

    Nosratola D. Vaziri;Ying-Yong Zhao;Madeleine V. Pahl

  • Microbiome–metabolome reveals the contribution of gut–kidney axis on kidney disease

    Yuan-Yuan Chen;Dan-Qian Chen;Lin Chen;Jing-Ru Liu

  • Central role of dysregulation of TGF-β/Smad in CKD progression and potential targets of its treatment

    Lin Chen;Tian Yang;De-Wen Lu;Hui Zhao

  • Metabolomics in chronic kidney disease

    Ying-Yong Zhao

  • Metabolomics analysis reveals the association between lipid abnormalities and oxidative stress, inflammation, fibrosis, and Nrf2 dysfunction in aristolochic acid-induced nephropathy

    Ying-Yong Zhao;Hui-Ling Wang;Xian-Long Cheng;Feng Wei

  • Identification of serum metabolites associating with chronic kidney disease progression and anti-fibrotic effect of 5-methoxytryptophan

    Dan-Qian Chen;Gang Cao;Hua Chen;Christos P. Argyopoulos

  • Metabolomics highlights pharmacological bioactivity and biochemical mechanism of traditional Chinese medicine.

    Ming Wang;Lin Chen;Dan Liu;Hua Chen

  • Natural Products as a Source for Antifibrosis Therapy

    Dan-Qian Chen;Ya-Long Feng;Gang Cao;Ying-Yong Zhao

  • Microbiome–metabolomics reveals gut microbiota associated with glycine-conjugated metabolites and polyamine metabolism in chronic kidney disease

    Ya-Long Feng;Gang Cao;Dan-Qian Chen;Nosratola D Vaziri

  • Novel inhibitors of the cellular renin-angiotensin system components, poricoic acids, target Smad3 phosphorylation and Wnt/β-catenin pathway against renal fibrosis.

    Ming Wang;Dan-Qian Chen;Lin Chen;Gang Cao

  • Gene and protein expressions and metabolomics exhibit activated redox signaling and wnt/β-catenin pathway are associated with metabolite dysfunction in patients with chronic kidney disease.

    Dan-Qian Chen;Gang Cao;Hua Chen;Dan Liu

  • Urinary metabonomics study on biochemical changes in an experimental model of chronic renal failure by adenine based on UPLC Q-TOF/MS.

    Ying-Yong Zhao;Jing Liu;Xian-Long Cheng;Xu Bai

  • Ultra performance liquid chromatography-based metabonomic study of therapeutic effect of the surface layer of Poria cocos on adenine-induced chronic kidney disease provides new insight into anti-fibrosis mechanism.

    Ying-Yong Zhao;Ya-Long Feng;Xu Bai;Xiao-Jie Tan

  • Metabolomics insights into chronic kidney disease and modulatory effect of rhubarb against tubulointerstitial fibrosis

    Zhi-Hao Zhang;Feng Wei;Nosratola D. Vaziri;Xian-Long Cheng

  • Ultra-performance liquid chromatography–mass spectrometry as a sensitive and powerful technology in lipidomic applications

    Ying-Yong Zhao;Ying-Yong Zhao;Shao-Ping Wu;Shuman Liu;Yongmin Zhang

  • UPLC–MSE application in disease biomarker discovery: The discoveries in proteomics to metabolomics

    Ying-Yong Zhao;Rui-Chao Lin

  • Intrarenal Metabolomic Investigation of Chronic Kidney Disease and its TGF-β1 Mechanism in Induced-adenine Rats using UPLC Q-TOF/HSMS/MSE

    Ying-Yong Zhao;Xian-Long Cheng;Feng Wei;Xu Bai

  • Traditional uses, phytochemistry, pharmacology, toxicology and quality control of Alisma orientale (Sam.) Juzep: a review.

    Ting Tian;Hua Chen;Ying-Yong Zhao

  • Metabolomics insights into activated redox signaling and lipid metabolism dysfunction in chronic kidney disease progression.

    Hua Chen;Gang Cao;Dan-Qian Chen;Ming Wang

Frequent Co-Authors

Nosratola D. Vaziri
Nosratola D. Vaziri University of California, Irvine
David C. Samuels
David C. Samuels Vanderbilt University
Jun Fan
Jun Fan Northwest University
Jijun Tang
Jijun Tang University of South Carolina
Karl Wah Keung Tsim
Karl Wah Keung Tsim Hong Kong University of Science and Technology
Gong Ju
Gong Ju Air Force Medical University
Yu Shyr
Yu Shyr Vanderbilt University Medical Center
Jeremy Chien
Jeremy Chien University of California, Davis
Caiyun Wang
Caiyun Wang University of Wollongong
Yong Yang
Yong Yang Chinese Academy of Sciences

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