Dan C. Li

20 papers receiving 378 citations

Peers

Dan C. Li
Comparison fields: 5 of 87
  • Behavioral Neuroscience 40
  • Biological Psychiatry 27
  • Oncology 123
  • Cellular and Molecular Neuroscience 60
  • Biochemistry 23
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Scott Davidson United Kingdom
Marika Bianchi Italy
Kathryn M. Oliver Ireland
Matthias Linke Germany
Tianyi Zhu China
Victoria Lutgen United States
Mary K. Graves United States
Valeria Serra Italy
Franck Louis France
Dan C. Li relative to Scott Davidson United Kingdom Scott Davidson's profile →
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Citations per year

Countries citing papers authored by Dan C. Li

Since Specialization
Citations

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

Fields of papers citing papers by Dan C. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 200957
3 200947
4 201934
5 200927
6
LMP1 promotes nasopharyngeal carcinoma metastasis through NTRK2-mediated anoikis resistance.
202023
7 202121
8 202218
9 201817
10 201816
11 201711
12 20159
13 20217
14 20226
15 20176
16 20245
17 20223
18
[Gene modification in the genome of Epstein-Barr virus cloned as a bacterial artificial chromosome].
20083
19 20212
20 20241

About Dan C. Li

Dan C. Li is a scholar working on Oncology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Social Psychology, having authored 23 papers that have together received 387 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Memory and Neural Mechanisms (4 papers), Neuroendocrine regulation and behavior (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Behavioral Neuroscience (40 citations), Biological Psychiatry (27 citations), Oncology (123 citations), Cellular and Molecular Neuroscience (60 citations) and Biochemistry (23 citations). Dan C. Li has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Shannon L. Gourley, Changguo Chen, Monica Sala‐Rabanal, Colin G. Nichols, Serguei N. Skatchkov, Mikhail Inyushin, Gregory R. Dake, Harley T. Kurata, Elizabeth G. Pitts and Ming Shi. Their work appears in journals such as Scientific Reports, Biological Psychiatry, Molecular Pharmaceutics, Journal of Neuroscience and Seminars in Cell and Developmental Biology.

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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