Jin Leng
Impact in
- Virology top 2%
- HIV Research and Treatment
- Parasitology top 5%
- Parasites and Host Interactions
- Toxoplasma gondii Research Studies
Papers in
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- Toxoplasma gondii Research Studies 2
-
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Daniel R. Goldstein (3 shared papers)Martin Baumgart (1 shared paper)Eric Denkers (2 shared papers)Mathias D. Lichterfeld (3 shared papers)Xu G. Yu (2 shared papers)Florencia Pereyra (2 shared papers)Bruce D. Walker (2 shared papers)Maria José Buzón (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Nano Letters (2 papers)Rapid Communications in Mass Spectrometry (1 paper)Microbes and Infection (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jin Leng
14 papers receiving 874 citations
Peers
Comparison fields: 5 of 91
- Virology 338
- Parasitology 156
- Immunology 382
- Infectious Diseases 195
- Epidemiology 146
Countries citing papers authored by Jin Leng
This map shows the geographic impact of Jin Leng'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 Jin Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Leng more than expected).
Fields of papers citing papers by Jin Leng
This network shows the impact of papers produced by Jin Leng. 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 Jin Leng. The network helps show where Jin Leng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Leng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 347 | |
| 2 | 2006 | 123 | |
| 3 | 2012 | 109 | |
| 4 | 2009 | 58 | |
| 5 | 2010 | 53 | |
| 6 | 2012 | 51 | |
| 7 | 2014 | 45 | |
| 8 | 2009 | 38 | |
| 9 | 2011 | 22 | |
| 10 | 2023 | 22 | |
| 11 | 2014 | 6 | |
| 12 | 2024 | 5 | |
| 13 | Biorthogonal Multiwavelet Packets with Scale=a | 2001 | 4 |
| 14 | Thermodynamics and thermo-electro-mechanical stability of dielectric elastomers composite | 2012 | 1 |
About Jin Leng
Jin Leng is a scholar working on Parasitology, Immunology, Virology, Epidemiology and Infectious Diseases, having authored 14 papers that have together received 884 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Influenza Virus Research Studies (2 papers), HIV Research and Treatment (2 papers), T-cell and B-cell Immunology (2 papers), Toxoplasma gondii Research Studies (2 papers), Herpesvirus Infections and Treatments (2 papers) and Quantum and electron transport phenomena (2 papers). The work is most often cited by research in Virology (338 citations), Parasitology (156 citations), Immunology (382 citations), Infectious Diseases (195 citations) and Epidemiology (146 citations). Jin Leng has collaborated with scholars based in United States and China. Frequent co-authors include Daniel R. Goldstein, Martin Baumgart, Eric Denkers, Mathias D. Lichterfeld, Xu G. Yu, Florencia Pereyra, Bruce D. Walker, Maria José Buzón, Timothy J. Henrich and Enrique Martín‐Gayo. Their work appears in journals such as The Journal of Immunology, Nano Letters, Rapid Communications in Mass Spectrometry, Microbes and Infection and Nature Medicine.
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.