Jun Peng
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
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- Neuroscience and Neuropharmacology Research
Papers in
- Hematology 19
- Platelet Disorders and Treatments 14
- Blood groups and transfusion 8
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Patrick L. McGeer (8 shared papers)Edith G. McGeer (7 shared papers)Zongjin Li (9 shared papers)Toshisaburo Nagai (1 shared paper)C. E. Dolman (1 shared paper)Karen Carver-Moore (2 shared papers)Scott Cooper (2 shared papers)HE Broxmeyer (2 shared papers)
- Journals
- Veterinary Microbiology (4 papers)Blood (4 papers)Neurochemical Research (3 papers)Cement and Concrete Research (2 papers)ACI Materials Journal (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jun Peng
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Hematology 313
- Cellular and Molecular Neuroscience 231
- Animal Science and Zoology 112
- Pharmacology 182
- Genetics 109
Countries citing papers authored by Jun Peng
This map shows the geographic impact of Jun Peng'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 Jun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Peng more than expected).
Fields of papers citing papers by Jun Peng
This network shows the impact of papers produced by Jun Peng. 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 Jun Peng. The network helps show where Jun Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 229 | |
| 2 | 1983 | 170 | |
| 3 | 1986 | 99 | |
| 4 | 2014 | 88 | |
| 5 | 2015 | 65 | |
| 6 | 2012 | 60 | |
| 7 | 1984 | 60 | |
| 8 | 1999 | 43 | |
| 9 | 1996 | 39 | |
| 10 | 2010 | 36 | |
| 11 | 2002 | 35 | |
| 12 | 2021 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2000 | 31 | |
| 15 | 2014 | 27 | |
| 16 | 1980 | 27 | |
| 17 | 1986 | 25 | |
| 18 | 2023 | 22 | |
| 19 | 2000 | 20 | |
| 20 | 2013 | 17 |
About Jun Peng
Jun Peng is a scholar working on Hematology, Molecular Biology, Infectious Diseases, Animal Science and Zoology and Civil and Structural Engineering, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (14 papers), Platelet Disorders and Treatments (14 papers), Viral gastroenteritis research and epidemiology (10 papers), Virus-based gene therapy research (8 papers), Concrete and Cement Materials Research (8 papers), Blood groups and transfusion (8 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Hematology (313 citations), Cellular and Molecular Neuroscience (231 citations), Animal Science and Zoology (112 citations), Pharmacology (182 citations) and Genetics (109 citations). Jun Peng has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Patrick L. McGeer, Edith G. McGeer, Zongjin Li, Toshisaburo Nagai, C. E. Dolman, Karen Carver-Moore, Scott Cooper, HE Broxmeyer, Hiroshi Kimura and Huiping Bai. Their work appears in journals such as Veterinary Microbiology, Blood, Neurochemical Research, Cement and Concrete Research and ACI Materials 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.