Jess Li

1.3k citations
26 papers · 1.1k · h-index 16

Impact in

Papers in

    • Ubiquitin and proteasome pathways 7
    • RNA and protein synthesis mechanisms 5
    • Cellular transport and secretion 4
    • Endoplasmic Reticulum Stress and Disease 2

Jess Li

25 papers receiving 1.1k citations

Peers

Jess Li
Comparison fields: 5 of 83
  • Sensory Systems 94
  • Physiology 62
  • Molecular Biology 739
  • Biophysics 58
  • Cell Biology 156
Replace Kyoko L. Yap with:
Kyoko L. Yap United States
Cristina Paulino Netherlands
Alexander Myasnikov United States
Jean‐René Alattia Canada
Geneviève M. C. Gasmi-Seabrook Canada
Seth L. Robia United States
Yann Percherancier France
Tilman Flock United Kingdom
Jung‐Chi Liao United States
Ofer Yifrach Israel
Jess Li relative to Kyoko L. Yap United States Kyoko L. Yap's profile →
Citations per field
00.5×2.6×
Kyoko L. Yap · 1×
Citations per year

Countries citing papers authored by Jess Li

Since Specialization
Citations

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

Fields of papers citing papers by Jess Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jess 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 Jess Li Line = papers co-authored together Jess Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994256
2 2009142
3 201378
4 199878
5 200275
6 200473
7 201368
8 202033
9 201132
10 201228
11 201527
12 202025
13 201724
14 199923
15 200721
16 202216
17 202113
18 201911
19 202310
20 20148

About Jess Li

Jess Li is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Spectroscopy, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), RNA and protein synthesis mechanisms (5 papers), Cellular transport and secretion (4 papers), Enzyme Structure and Function (4 papers), Autophagy in Disease and Therapy (4 papers), Advanced NMR Techniques and Applications (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Sensory Systems (94 citations), Physiology (62 citations), Molecular Biology (739 citations), Biophysics (58 citations) and Cell Biology (156 citations). Jess Li has collaborated with scholars based in United States, India and Spain. Frequent co-authors include R. Andrew Byrd, Tsung‐Yu Chen, King‐Wai Yau, Mingyao Liu, Amanda S. Altieri, Ranabir Das, Xinhua Ji, Allan M. Weissman, Vadim Gaponenko and Sergey G. Tarasov. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Journal of Biomolecular NMR, Molecular Cell and Structure.

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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