Hangjun Zhan
Impact in
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Toxin Mechanisms and Immunotoxins 6
-
- Signaling Pathways in Disease 1
- Co-authors
- R. John Collier (6 shared papers)David J. Matthews (5 shared papers)Kyoung Joon Oh (4 shared papers)Wayne L. Hubbell (3 shared papers)Can Cui (3 shared papers)Rashid Syed (2 shared papers)Janet C. Cheetham (2 shared papers)B.A. Katz (2 shared papers)
- Journals
- Biochemistry (5 papers)Protein Science (2 papers)Protein Engineering Design and Selection (1 paper)Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesHungaryChina
In The Last Decade
Hangjun Zhan
18 papers receiving 957 citations
Peers
Comparison fields: 5 of 85
- Immunology 373
- Biotechnology 143
- Hematology 181
- Biophysics 44
- Molecular Biology 515
Countries citing papers authored by Hangjun Zhan
This map shows the geographic impact of Hangjun Zhan'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 Hangjun Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangjun Zhan more than expected).
Fields of papers citing papers by Hangjun Zhan
This network shows the impact of papers produced by Hangjun Zhan. 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 Hangjun Zhan. The network helps show where Hangjun Zhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hangjun Zhan, 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 | 1998 | 438 | |
| 2 | 1996 | 98 | |
| 3 | 1997 | 71 | |
| 4 | 1997 | 63 | |
| 5 | 2000 | 56 | |
| 6 | 1994 | 54 | |
| 7 | 1995 | 52 | |
| 8 | 1997 | 48 | |
| 9 | 1997 | 36 | |
| 10 | 1999 | 30 | |
| 11 | 1991 | 19 | |
| 12 | 1999 | 16 | |
| 13 | 1998 | 6 | |
| 14 | 2000 | 6 | |
| 15 | 1999 | 2 | |
| 16 | 1997 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2001 | 1 | |
| 19 | 2025 | 0 |
About Hangjun Zhan
Hangjun Zhan is a scholar working on Immunology, Molecular Biology, Biotechnology, Infectious Diseases and Hematology, having authored 19 papers that have together received 999 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Transgenic Plants and Applications (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Blood groups and transfusion (2 papers), Protease and Inhibitor Mechanisms (2 papers), Signaling Pathways in Disease (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Immunology (373 citations), Biotechnology (143 citations), Hematology (181 citations), Biophysics (44 citations) and Molecular Biology (515 citations). Hangjun Zhan has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include R. John Collier, David J. Matthews, Kyoung Joon Oh, Wayne L. Hubbell, Can Cui, Rashid Syed, Janet C. Cheetham, B.A. Katz, Joan C. Egrie and Karen Sitney. Their work appears in journals such as Biochemistry, Protein Science, Protein Engineering Design and Selection, Science and Journal of Biological Chemistry.
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.