Willis X. Li

4.1k total citations
69 papers, 3.1k citations indexed

About

Willis X. Li is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Willis X. Li has authored 69 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 19 papers in Immunology and 17 papers in Oncology. Recurrent topics in Willis X. Li's work include Cytokine Signaling Pathways and Interactions (14 papers), Genomics and Chromatin Dynamics (12 papers) and Invertebrate Immune Response Mechanisms (11 papers). Willis X. Li is often cited by papers focused on Cytokine Signaling Pathways and Interactions (14 papers), Genomics and Chromatin Dynamics (12 papers) and Invertebrate Immune Response Mechanisms (11 papers). Willis X. Li collaborates with scholars based in United States, China and Taiwan. Willis X. Li's co-authors include Jinghong Li, Amy Tsurumi, Daniel Kalderon, Norbert Perrimon, Pranabananda Dutta, Mary Ellen Lane, Xia Fan, Song Shi, Shian-Jang Yan and Kimberly Larson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Willis X. Li

68 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Willis X. Li United States 30 1.8k 761 527 406 371 69 3.1k
Elizabeth J. Manos United States 12 2.3k 1.3× 604 0.8× 563 1.1× 287 0.7× 378 1.0× 13 3.5k
Pavel Urbánek Germany 17 1.9k 1.0× 879 1.2× 303 0.6× 399 1.0× 136 0.4× 28 3.0k
Jaesang Kim South Korea 28 2.3k 1.2× 765 1.0× 417 0.8× 417 1.0× 399 1.1× 63 3.8k
Deborah L. Berry United States 22 2.2k 1.2× 363 0.5× 345 0.7× 344 0.8× 457 1.2× 51 3.8k
Najah T. Nassif Australia 28 2.0k 1.1× 442 0.6× 541 1.0× 403 1.0× 218 0.6× 78 3.1k
Amy Chen United States 24 1.9k 1.0× 568 0.7× 382 0.7× 378 0.9× 316 0.9× 72 3.2k
Rolf P. de Groot Netherlands 30 1.8k 1.0× 927 1.2× 1.5k 2.8× 440 1.1× 193 0.5× 58 3.6k
Yurii Chinenov United States 27 2.2k 1.2× 926 1.2× 486 0.9× 456 1.1× 170 0.5× 43 3.7k
Anders Lade Nielsen Denmark 31 3.1k 1.7× 567 0.7× 480 0.9× 801 2.0× 190 0.5× 116 4.3k
Timothy C. Grammer United States 20 1.7k 0.9× 344 0.5× 526 1.0× 229 0.6× 161 0.4× 20 2.4k

Countries citing papers authored by Willis X. Li

Since Specialization
Citations

This map shows the geographic impact of Willis X. Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Willis X. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willis X. Li more than expected).

Fields of papers citing papers by Willis X. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willis X. Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Willis X. Li. The network helps show where Willis X. Li may publish in the future.

Co-authorship network of co-authors of Willis X. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Willis X. Li. A scholar is included among the top collaborators of Willis X. Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Willis X. Li. Willis X. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Willis X., et al.. (2024). Emerging trends in management of long COVID with a focus on pulmonary rehabilitation: A review. The Clinical Respiratory Journal. 18(5). e13777–e13777. 2 indexed citations
2.
Xing, Yalan, Kimberly Larson, Jinghong Li, & Willis X. Li. (2023). Canonical and non‐canonical functions of STAT in germline stem cell maintenance. Developmental Dynamics. 252(6). 728–741. 2 indexed citations
3.
Li, Willis X.. (2023). Computational simulation of JAK/STAT signaling in somatic versus germline stem cells. Developmental Dynamics. 253(7). 648–658. 1 indexed citations
4.
Tsurumi, Amy & Willis X. Li. (2020). Aging mechanisms—A perspective mostly from Drosophila. SHILAP Revista de lepidopterología. 1(1). e10026–e10026. 16 indexed citations
5.
Dutta, Pranabananda, et al.. (2020). DrosophilaSERTAD domain protein Taranis is required in somatic cells for maintenance of male germline stem cells. Developmental Dynamics. 250(2). 237–248. 3 indexed citations
6.
7.
Li, Jinghong, Qi Wei, Willis X. Li, et al.. (2020). Metformin Use in Diabetes Prior to Hospitalization: Effects on Mortality in Covid-19. Endocrine Practice. 26(10). 1166–1172. 29 indexed citations
8.
Tsurumi, Amy, Shuang Xue, Lin Zhang, Jinghong Li, & Willis X. Li. (2019). Genome-wide Kdm4 histone demethylase transcriptional regulation in Drosophila. Molecular Genetics and Genomics. 294(5). 1107–1121. 8 indexed citations
9.
Tsurumi, Amy, Connie Zhao, & Willis X. Li. (2017). Canonical and non-canonical JAK/STAT transcriptional targets may be involved in distinct and overlapping cellular processes. BMC Genomics. 18(1). 718–718. 15 indexed citations
10.
Dutta, Pranabananda & Willis X. Li. (2017). The SERTAD protein Taranis plays a role in Polycomb-mediated gene repression. PLoS ONE. 12(6). e0180026–e0180026. 4 indexed citations
11.
Li, Jinghong, Willis X. Li, Chunxue Bai, & Yuanlin Song. (2015). Particulate matter‐induced epigenetic changes and lung cancer. The Clinical Respiratory Journal. 11(5). 539–546. 102 indexed citations
12.
Li, Jinghong, Pranabananda Dutta, Sheng‐Jiao Yan, et al.. (2012). The Birt-Hogg-Dube tumor suppressor Folliculin negatively regulates ribosomal RNA synthesis. Human Molecular Genetics. 22(2). 284–299. 15 indexed citations
13.
Tsurumi, Amy & Willis X. Li. (2012). Global heterochromatin loss. Epigenetics. 7(7). 680–688. 151 indexed citations
14.
Larson, Kimberly, Shian-Jang Yan, Amy Tsurumi, et al.. (2012). Heterochromatin Formation Promotes Longevity and Represses Ribosomal RNA Synthesis. PLoS Genetics. 8(1). e1002473–e1002473. 202 indexed citations
15.
Ting, Huei‐Ju, Sayeda Yasmin‐Karim, Shian-Jang Yan, et al.. (2011). A Positive Feedback Signaling Loop between ATM and the Vitamin D Receptor Is Critical for Cancer Chemoprevention by Vitamin D. Cancer Research. 72(4). 958–968. 40 indexed citations
16.
Li, Willis X., et al.. (2011). The Role of Receptor Tyrosine Kinases in Primordial Germ Cell Migration. Methods in molecular biology. 750. 291–306. 3 indexed citations
17.
Shi, Song, Kimberly Larson, Dongdong Guo, et al.. (2008). Drosophila STAT is required for directly maintaining HP1 localization and heterochromatin stability. Nature Cell Biology. 10(4). 489–496. 103 indexed citations
18.
Fan, Xia, Jinghong Li, Gavin Hickey, et al.. (2008). Raf Activation Is Regulated by Tyrosine 510 Phosphorylation in Drosophila. PLoS Biology. 6(5). e128–e128. 18 indexed citations
19.
Antonysamy, Mary A., William C. Fanslow, Freddie H. Fu, et al.. (1999). Evidence for a role of IL-17 in alloimmunity: a novel IL-17 antagonist promotes heart graft survival. Transplantation Proceedings. 31(1-2). 93–93. 48 indexed citations
20.
Li, Willis X. & Norbert Perrimon. (1997). Specificity of Receptor Tyrosine Kinase Signaling Pathways: Lessons from Drosophila. PubMed. 19. 167–182. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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