World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
64
Citations
13077
World Ranking
2806
National Ranking
1229

Rongling Wu publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Rongling Wu sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 442 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Rongling Wu D-index placement in Genetics in 2026

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

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 64 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2010 - Fellow of the American Statistical Association (ASA)

Overview

Rongling Wu is a researcher affiliated with Pennsylvania State University in the United States. Their primary fields of study include Biochemistry, Genetics and Molecular Biology, with significant contributions also in Agricultural and Biological Sciences. Within these domains, Wu's work spans various subfields such as Molecular Biology, Plant Science, Genetics, Endocrinology, Diabetes and Metabolism, and Endocrine and Autonomic Systems.

The scientist's research covers numerous topics, including:

  • Evolution and Genetic Dynamics
  • Bioinformatics and Genomic Networks
  • Genetic Mapping and Diversity in Plants and Animals
  • Plant Molecular Biology Research
  • Gene Regulatory Network Analysis
  • Gut microbiota and health
  • Evolutionary Game Theory and Cooperation

Wu has contributed to several papers published in multiple venues. Notable recent publications are:

  • Recovering dynamic networks in big static datasets, 2021, Physics Reports
  • Network mapping of root-microbe interactions in Arabidopsis thaliana, 2021, npj Biofilms and Microbiomes
  • Long-read genome assembly and genetic architecture of fruit shape in the bottle gourd, 2021, The Plant Journal
  • Inferring multilayer interactome networks shaping phenotypic plasticity and evolution, 2021, Nature Communications
  • Modeling spatial interaction networks of the gut microbiota, 2022, Gut Microbes

Frequent publication venues for Wu's work include Frontiers in Plant Science, arXiv (Cornell University), International Journal of Molecular Sciences, Physics Reports, and Horticulture Research.

The researcher collaborates regularly with several co-authors, including:

  • Libo Jiang
  • Claudia Gragnoli
  • Christopher Griffin
  • Ang Dong
  • Mutaz Amin

Wu was awarded the title of Fellow of the American Statistical Association (ASA) in 2010.

Best Publications

  • Functional mapping — how to map and study the genetic architecture of dynamic complex traits

    Rongling Wu;Min Lin;Min Lin

  • Functional mapping of quantitative trait loci underlying the character process: a theoretical framework.

    Chang-Xing Ma;George Casella;Rongling Wu

  • Methodological implementation of mixed linear models in multi-locus genome-wide association studies.

    Yang Jun Wen;Hanwen Zhang;Yuan Li Ni;Bo Huang

  • Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL

    Rongling Wu;Changxing Ma;George Casella

  • The Bayesian lasso for genome-wide association studies

    Jiahan Li;Kiranmoy Das;Guifang Fu;Runze Li

  • Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates

    Jingyuan Liu;Runze Li;Rongling Wu

  • Simultaneous Maximum Likelihood Estimation of Linkage and Linkage Phases in Outcrossing Species

    Rongling Wu;Chang Xing Ma;Ian Painter;Zhao Bang Zeng

  • Complete switchgrass genetic maps reveal subgenome collinearity, preferential pairing and multilocus interactions.

    Miki Okada;Christina Lanzatella;Malay C. Saha;Joe Bouton

  • Plant grafting: how genetic exchange promotes vascular reconnection.

    Jing Wang;Libo Jiang;Rongling Wu;Rongling Wu

  • A general framework for analyzing the genetic architecture of developmental characteristics.

    Rongling Wu;Chang Xing Ma;Min Lin;George Casella

  • Genome-wide Association Identifies the T Gene as a Novel Asthma Pharmacogenetic Locus

    Kelan G. Tantisira;Amy Damask;Stanley J. Szefler;Brooke Schuemann

  • A General Polyploid Model for Analyzing Gene Segregation in Outcrossing Tetraploid Species

    Rongling Wu;Maria Gallo-Meagher;Ramon C. Littell;Zhao Bang Zeng

  • Molecular genetics of growth and development in Populus (Salicaceae). v. mapping quantitative trait loci affecting leaf variation.

    R L Wu;H D Bradshaw;R F Stettler

  • Joint linkage and linkage disequilibrium mapping in natural populations.

    Rongling Wu;Zhao Bang Zeng

  • Genetic mapping of QTLs affecting tree growth and architecture in Populus: implication for ideotype breeding.

    R. L. Wu

  • Molecular linkage maps of the Populus genome.

    Tongming Yin;Xinye Zhang;Minren Huang;Minxiu Wang

  • THE DETECTION OF PLASTICITY GENES IN HETEROGENEOUS ENVIRONMENTS.

    Rongling Wu

  • Fine Particulate Air Pollution is Associated with Higher Vulnerability to Atrial Fibrillation—the Apacr Study

    Duanping Liao;Michele L. Shaffer;Fan He;Sol Rodriguez-Colon

  • Joint Linkage and Linkage Disequilibrium Mapping of Quantitative Trait Loci in Natural Populations

    Rongling Wu;Chang Xing Ma;Chang Xing Ma;George Casella

  • A non-stationary model for functional mapping of complex traits

    Wei Zhao;Ying Q. Chen;George Casella;James M. Cheverud

Frequent Co-Authors

George Casella
George Casella University of Florida
Runze Li
Runze Li Pennsylvania State University
Jianxin Wang
Jianxin Wang Central South University
Zhao-Bang Zeng
Zhao-Bang Zeng North Carolina State University
Vernon M. Chinchilli
Vernon M. Chinchilli Pennsylvania State University
Julie A. Johnson
Julie A. Johnson University of Florida
Chenguang Wang
Chenguang Wang Johns Hopkins University
James M. Cheverud
James M. Cheverud Loyola University Chicago
Gregory M. Acland
Gregory M. Acland Cornell University
Brian A. Larkins
Brian A. Larkins University of Arizona

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring genetics in the USA opens doors to various online degrees and healthcare career pathways. Many students interested in genetics might also consider transitioning into related sectors, such as nursing or healthcare administration. If you are looking for entry into the healthcare field, there are nursing school that doesn't require teas for admission, making the process more accessible.

Those seeking administrative roles in healthcare can benefit from the cheapest mha programs available online, which offer flexibility and affordability. If you're looking for a fast entry into nursing, there are lpn accelerated program options that enable you to start your career quickly.

For advanced nursing practice, affordable doctoral programs are essential. Look into the cheapest dnp programs to enhance your expertise and expand your career prospects. These online pathways give you the flexibility to upskill and specialize while balancing other commitments.

Best Scientists Citing Rongling Wu

Trending Scientists

Recently Published Articles