Janet Li

738 citations
21 papers · 545 · h-index 9

Impact in

  • Epidemiology top 10%
    • Neuroendocrine Tumor Research Advances
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Neuroendocrine Tumor Research Advances 3
    • Respiratory viral infections research 1
    • Pelvic floor disorders treatments 3

Janet Li

19 papers receiving 538 citations

Peers

Janet Li
Comparison fields: 5 of 75
  • Epidemiology 269
  • Oncology 182
  • Dermatology 63
  • Neurology 95
  • Immunology 60
Replace Miki Shirakawa Garcia with:
Miki Shirakawa Garcia United States
LUCA MARIA MUSCARDIN Italy
Deborah A. McCue United States
Philip E. Kerr United States
Shigeo Kawachi Japan
Markus Vogelbruch Germany
Kristen Shannon United States
Noriko Yoshii Japan
Marco Rubatto Italy
Janet Li relative to Miki Shirakawa Garcia United States Miki Shirakawa Garcia's profile →
Citations per field
00.5×5×12.3×
Miki Shirakawa Garcia · 1×
Citations per year

Countries citing papers authored by Janet Li

Since Specialization
Citations

This map shows the geographic impact of Janet 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 Janet Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Li more than expected).

Fields of papers citing papers by Janet Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet 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 Janet Li. The network helps show where Janet Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Janet Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Janet Li Line = papers co-authored together Janet Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018171
2 2009101
3 201870
4 201461
5 202431
6 200526
7 201617
8 202212
9 200411
10 20188
11 20208
12 20126
13 20035
14 20215
15 20234
16 20223
17 20032
18 20242
19 20041
20 20251

About Janet Li

Janet Li is a scholar working on Epidemiology, Rheumatology, Dermatology, Surgery and Oncology, having authored 21 papers that have together received 545 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (3 papers), Pelvic floor disorders treatments (3 papers), Neuroblastoma Research and Treatments (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), CRISPR and Genetic Engineering (1 paper), Congenital Diaphragmatic Hernia Studies (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Epidemiology (269 citations), Oncology (182 citations), Dermatology (63 citations), Neurology (95 citations) and Immunology (60 citations). Janet Li has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David S. Klimstra, Brian R. Untch, Peter W. Lewis, Promita Bose, Edaise M. da Silva, Saurabh V. Laddha, Kenneth Robzyk, Chang S. Chan, Timothy An-thy Chan and C. David Allis. Their work appears in journals such as International Urogynecology Journal, Pathology, Analytical Chemistry, JCO Precision Oncology and Journal of Minimally Invasive Gynecology.

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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