Dan C. Li

643 citations
23 papers · 416 · h-index 12

Impact in

Papers in

    • Viral-associated cancers and disorders 6
    • Drug Transport and Resistance Mechanisms 2
    • Neuroscience and Neuropharmacology Research 3
    • Neurotransmitter Receptor Influence on Behavior 3

Dan C. Li

20 papers receiving 408 citations

Peers

Dan C. Li
Comparison fields: 5 of 84
  • Behavioral Neuroscience 39
  • Biological Psychiatry 24
  • Oncology 123
  • Cellular and Molecular Neuroscience 63
  • Biochemistry 25
Replace Nannan Ning with:
Nannan Ning China
Victoria Lutgen United States
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Elizabeth Caldwell United States
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Eva Martišová Spain
Ke-Sheng Wang United States
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Citations per field
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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 201376
2 200961
3 200947
4 201937
5 200927
6 202126
7
LMP1 promotes nasopharyngeal carcinoma metastasis through NTRK2-mediated anoikis resistance.
202023
8 202221
9 201818
10 201816
11 201512
12 201711
13 20219
14 20247
15 20226
16 20176
17 20244
18 20223
19
[Gene modification in the genome of Epstein-Barr virus cloned as a bacterial artificial chromosome].
20083
20 20212

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 416 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Neuroendocrine regulation and behavior (4 papers), Memory and Neural Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Stress Responses and Cortisol (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Behavioral Neuroscience (39 citations), Biological Psychiatry (24 citations), Oncology (123 citations), Cellular and Molecular Neuroscience (63 citations) and Biochemistry (25 citations). Dan C. Li has collaborated with scholars based in United States, China and Puerto Rico. Frequent co-authors include Shannon L. Gourley, Changguo Chen, Colin G. Nichols, Monica Sala‐Rabanal, Harley T. Kurata, Mikhail Inyushin, Gregory R. Dake, Serguei N. Skatchkov, Elizabeth G. Pitts and Beifen Shen. Their work appears in journals such as CNS Neuroscience & Therapeutics, The Journal of Immunology, Cancer Biology & Therapy, Molecular Psychiatry and Biophysical Journal.

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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