World's Best Scientists 2026 revealed!
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Jingxia Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 54 2346 2112 1160 1032 184 8056

Jingxia Li publications per year

The chart shows the history of publications by Jingxia Li between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jingxia Li published across 38 years, from 1988 to 2025, averaging 6.3 papers a year. Output peaked at 29 publications in 2023. 15 of the 239 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2023. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 3 publications 2000: 2 publications 2001: 10 publications 2002: 7 publications 2003: 1 publication 2004: 7 publications 2005: 7 publications 2006: 18 publications 2007: 8 publications 2008: 4 publications 2009: 5 publications 2010: 8 publications 2011: 7 publications 2012: 12 publications 2013: 7 publications 2014: 14 publications 2015: 7 publications 2016: 10 publications 2017: 14 publications 2018: 11 publications 2019: 13 publications 2020: 4 publications 2021: 3 publications 2022: 11 publications 2023: 29 publications 2024: 10 publications 2025: 5 publications
1988 2025

239 publications in total across all disciplines

View publications per year as a table
Jingxia Li: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 1
1999 3
2000 2
2001 10
2002 7
2003 1
2004 7
2005 7
2006 18
2007 8
2008 4
2009 5
2010 8
2011 7
2012 12
2013 7
2014 14
2015 7
2016 10
2017 14
2018 11
2019 13
2020 4
2021 3
2022 11
2023 29
2024 10
2025 5
Total 239
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Jingxia Li publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Jingxia Li sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 177–186 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 184 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110 184
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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Jingxia Li D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Jingxia Li sits on this spectrum.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 54–55 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 54 D-Index — 26th percentile

26% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116 54
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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Overview

Jingxia Li is affiliated with New York University in the United States and works primarily in the fields of Engineering and Biochemistry, Genetics and Molecular Biology. Their research spans several subfields, including Molecular Biology, Biomedical Engineering, Ocean Engineering, Cancer Research, and Immunology.

The main topics covered by Jingxia Li's work include:

  • Geophysical Methods and Applications
  • Microwave Imaging and Scattering Analysis
  • Advanced SAR Imaging Techniques
  • Seismic Imaging and Inversion Techniques
  • Cancer-related molecular mechanisms research
  • Circular RNAs in diseases
  • Inflammasome and immune disorders

Jingxia Li has contributed to several frequent publication venues, such as:

  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Sensors Journal
  • Sensors
  • Cancers
  • Neoplasia

The scientist's recent papers demonstrate an interdisciplinary approach, integrating cancer biology and imaging technologies. Notable publications include:

  • "Isorhapontigenin (ISO) inhibits EMT through FOXO3A/METTL14/VIMENTIN pathway in bladder cancer cells," 2021, Cancer Letters
  • "lncRNA SNHG1 Promotes Basal Bladder Cancer Invasion via Interaction with PP2A Catalytic Subunit and Induction of Autophagy," 2020, Molecular Therapy - Nucleic Acids
  • "Underground Object Classification Using Deep 3-D Convolutional Networks and Multiple Mirror Encoding for GPR Data," 2022, IEEE Geoscience and Remote Sensing Letters
  • "Artifacts Suppression Using Correlation-Weighted Back Projection Imaging Algorithm for Chaotic GPR," 2021, IEEE Geoscience and Remote Sensing Letters
  • "GPR Clutter Removal Based on Factor Group-Sparse Regularization," 2021, IEEE Geoscience and Remote Sensing Letters

Collaboration is a significant aspect of their research, with frequent co-authors including Hang Xu, Bingjie Wang, Li Liu, Zhongxian Tian, and Xiaohui Hua. These partnerships highlight ongoing interdisciplinary projects, particularly in imaging techniques and biomedical applications.

Best Publications

  • Arsenic induces apoptosis through a c-Jun NH2-terminal kinase-dependent, p53-independent pathway.

    Chuanshu Huang;Wei-ya Ma;Jingxia Li;Zigang Dong

  • Essential Role of p53 in Phenethyl Isothiocyanate-induced Apoptosis

    Chuanshu Huang;Wei-ya Ma;Jingxia Li;Stephen S. Hecht

  • Requirement of Erk, but not JNK, for arsenite-induced cell transformation.

    Chuanshu Huang;Wei-Ya Ma;Jingxia Li;Angela Goranson

  • Vanadate induces p53 transactivation through hydrogen peroxide and causes apoptosis

    Chuanshu Huang;Zhuo Zhang;Min Ding;Jingxia Li

  • Inhibition of Benzo(a)pyrene Diol-Epoxide-induced Transactivation of Activated Protein 1 and Nuclear Factor κB by Black Raspberry Extracts

    Chuanshu Huang;Yi Huang;Jingxia Li;Wenwei Hu

  • Vanadate-induced cell growth regulation and the role of reactive oxygen species.

    Zhuo Zhang;Chuanshu Huang;Jingxia Li;Stephen S. Leonard

  • Genetic toxicology of lead compounds

    J. T. Zelikoff;J. H. Li;A. Hartwig;X.W. Wang

  • LncRNA MEG3 downregulation mediated by DNMT3b contributes to nickel malignant transformation of human bronchial epithelial cells via modulating PHLPP1 transcription and HIF-1α translation.

    C Zhou;C Huang;J Wang;H Huang

  • UV Induces Phosphorylation of Protein Kinase B (Akt) at Ser-473 and Thr-308 in Mouse Epidermal Cl 41 Cells through Hydrogen Peroxide*

    Chuanshu Huang;Jingxia Li;Min Ding;Stephen S. Leonard

  • JNK activation is required for JB6 cell transformation induced by tumor necrosis factor-α but not by 12-O-tetradecanoylphorbol-13-acetate

    Chuanshu Huang;Jingxia Li;Wei-Ya Ma;Zigang Dong

  • Essential roles of PI-3K/Akt/IKKβ/NFκB pathway in cyclin D1 induction by arsenite in JB6 Cl41 cells

    Weiming Ouyang;Jingxia Li;Qian Ma;Chuanshu Huang

  • Hydrogen Peroxide Mediates Activation of Nuclear Factor of Activated T Cells (NFAT) by Nickel Subsulfide

    Chuanshu Huang;Jingxia Li;Max Costa;Zhuo Zhang

  • JNK1 Mediates Degradation HIF-1α by a VHL-Independent Mechanism that Involves the Chaperones Hsp90/Hsp70

    Dongyun Zhang;Jingxia Li;Max Costa;Jimin Gao

  • Nickel Compounds Act through Phosphatidylinositol-3-kinase/Akt-Dependent, p70S6k-Independent Pathway to Induce Hypoxia Inducible Factor Transactivation and Cap43 Expression in Mouse Epidermal Cl41 Cells

    Jingxia Li;Gerard Davidson;Yi Huang;Bing-Hua Jiang

  • Cyclin D1 Induction through IκB Kinase β/Nuclear Factor-κB Pathway Is Responsible for Arsenite-Induced Increased Cell Cycle G1-S Phase Transition in Human Keratinocytes

    Weiming Ouyang;Qian Ma;Jingxia Li;Dongyun Zhang

  • SESN2/sestrin 2 induction-mediated autophagy and inhibitory effect of isorhapontigenin (ISO) on human bladder cancers

    Yuguang Liang;Junlan Zhu;Haishan Huang;Daimin Xiang

  • Identification of cyanidin glycosides as constituents of freeze-dried black raspberries which inhibit anti -benzo[ a ]pyrene-7,8-diol-9,10-epoxide induced NFκB and AP-1 activity

    Stephen S. Hecht;Chuanshu Huang;Gary D. Stoner;Jingxia Li

  • IKKβ programs to turn on the GADD45α–MKK4–JNK apoptotic cascade specifically via p50 NF-κB in arsenite response

    Lun Song;Jingxia Li;Dongyun Zhang;Zheng-gang Liu

  • Ultraviolet-induced phosphorylation of p70(S6K) at Thr(389) and Thr(421)/Ser(424) involves hydrogen peroxide and mammalian target of rapamycin but not Akt and atypical protein kinase C.

    Chuanshu Huang;Jingxia Li;Qingdong Ke;Stephen S Leonard

  • Vanadium-induced nuclear factor of activated T cells activation through hydrogen peroxide.

    Chuanshu Huang;Min Ding;Jingxia Li;Stephen S. Leonard

Frequent Co-Authors

Chuanshu Huang
Chuanshu Huang New York University
Max Costa
Max Costa New York University
Xianglin Shi
Xianglin Shi University of Kentucky
Vincent Castranova
Vincent Castranova West Virginia University
Min Ding
Min Ding National Institute for Occupational Safety and Health
Zigang Dong
Zigang Dong University of Minnesota
Val Vallyathan
Val Vallyathan National Institute for Occupational Safety and Health
Gary D. Stoner
Gary D. Stoner The Ohio State University
Gong Ju
Gong Ju Air Force Medical University
Stephen S. Leonard
Stephen S. Leonard National Institute for Occupational Safety and Health

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Best Scientists Citing Jingxia Li

Zigang Dong

Zigang Dong

University of Minnesota

Publications: 65

Ann M. Bode

Ann M. Bode

University of Minnesota

Publications: 43

Xianglin Shi

Xianglin Shi

University of Kentucky

Publications: 41

Chuanshu Huang

Chuanshu Huang

New York University

Publications: 40

Gary D. Stoner

Gary D. Stoner

The Ohio State University

Publications: 30

Max Costa

Max Costa

New York University

Publications: 30

Wei-Ya Ma

Wei-Ya Ma

University of Minnesota

Publications: 23

Zhuo Zhang

Zhuo Zhang

University of Kentucky

Publications: 18

Stephen S. Leonard

Stephen S. Leonard

National Institute for Occupational Safety and Health

Publications: 14

Hyong Joo Lee

Hyong Joo Lee

Seoul National University

Publications: 14

Fei Chen

Fei Chen

Stony Brook University

Publications: 13

Nancy H. Colburn

Nancy H. Colburn

National Institutes of Health

Publications: 12

Stephen S. Hecht

Stephen S. Hecht

University of Minnesota

Publications: 12

Shivendra V. Singh

Shivendra V. Singh

University of Pittsburgh

Publications: 12

Sanjay K. Srivastava

Sanjay K. Srivastava

Texas Tech University Health Sciences Center

Publications: 10

Young-Ok Son

Young-Ok Son

Gwangju Institute of Science and Technology

Publications: 10

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