Margaret Li

947 total citations
12 papers, 355 citations indexed

About

Margaret Li is a scholar working on Artificial Intelligence, Molecular Biology and Rheumatology. According to data from OpenAlex, Margaret Li has authored 12 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Margaret Li's work include Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers) and Speech and dialogue systems (2 papers). Margaret Li is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers) and Speech and dialogue systems (2 papers). Margaret Li collaborates with scholars based in United States, Japan and Hong Kong. Margaret Li's co-authors include Scott Koenig, Jeffrey V. Ravetch, Cynthia Aranow, Tao Wang, Anfisa Stanevsky, Betty Diamond, Meggan Mackay, Y-Lan Boureau, Jason Weston and Stephen Roller and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Biochemical and Biophysical Research Communications.

In The Last Decade

Margaret Li

11 papers receiving 340 citations

Peers

Margaret Li
Comparison fields: 5 of 63
  • Immunology 166
  • Artificial Intelligence 122
  • Radiology, Nuclear Medicine and Imaging 121
  • Rheumatology 75
  • Molecular Biology 48
Replace Shazia Akbar with:
Shazia Akbar United Kingdom
Stefanie Warnat‐Herresthal Germany
Xianxu Zeng China
Łukasz Roszkowiak Poland
Margherita Squillario Italy
Adrian Ion‐Mărgineanu United States
Siming Zeng China
Atsushi Keyaki Japan
Dorota Duda Poland
Sai Batchu United States
Shazia Akbar United Kingdom View profile →
Citations per field, relative to Margaret Li
Margaret Li · 1×
Citations per year, relative to Margaret Li
Margaret Li · 1×

Countries citing papers authored by Margaret Li

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Li

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Li. A scholar is included among the top collaborators of Margaret 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 Margaret Li. Margaret Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 0
3 3
4 1
5 3
6 44
7 67
8
I Know the Feeling: Learning to Converse with Empathy
11
9 9
10 202
11 6
12 8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026