Junxiang Peng
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Pituitary Gland Disorders and Treatments 34
- Growth Hormone and Insulin-like Growth Factors 17
- Genetics 15
- Glioma Diagnosis and Treatment 15
- Co-authors
- Songtao Qi (31 shared papers)Jun Pan (24 shared papers)Jun Fan (18 shared papers)Yuntao Lu (9 shared papers)Chaohu Wang (12 shared papers)Yun Bao (7 shared papers)Yawei Liu (4 shared papers)Guanglong Huang (5 shared papers)
In The Last Decade
Junxiang Peng
52 papers receiving 698 citations
Peers
Comparison fields: 5 of 117
- Genetics 283
- Endocrinology, Diabetes and Metabolism 380
- Epidemiology 158
- Developmental Neuroscience 16
- Neurology 51
Countries citing papers authored by Junxiang Peng
This map shows the geographic impact of Junxiang 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 Junxiang Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxiang Peng more than expected).
Fields of papers citing papers by Junxiang Peng
This network shows the impact of papers produced by Junxiang 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 Junxiang Peng. The network helps show where Junxiang Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxiang 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2015 | 52 | |
| 3 | 2017 | 50 | |
| 4 | 2013 | 48 | |
| 5 | 2021 | 40 | |
| 6 | 2015 | 37 | |
| 7 | 2011 | 34 | |
| 8 | 2021 | 33 | |
| 9 | 2015 | 30 | |
| 10 | 2018 | 28 | |
| 11 | 2011 | 21 | |
| 12 | 2022 | 20 | |
| 13 | 2019 | 19 | |
| 14 | 2022 | 17 | |
| 15 | 2011 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2016 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2009 | 11 |
About Junxiang Peng
Junxiang Peng is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Developmental Neuroscience, having authored 58 papers that have together received 704 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (34 papers), Growth Hormone and Insulin-like Growth Factors (17 papers), Glioma Diagnosis and Treatment (15 papers), Adrenal and Paraganglionic Tumors (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Meningioma and schwannoma management (4 papers), Head and Neck Surgical Oncology (4 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Genetics (283 citations), Endocrinology, Diabetes and Metabolism (380 citations), Epidemiology (158 citations), Developmental Neuroscience (16 citations) and Neurology (51 citations). Junxiang Peng has collaborated with scholars based in China, Germany and Sweden. Frequent co-authors include Songtao Qi, Jun Pan, Jun Fan, Yuntao Lu, Chaohu Wang, Yun Bao, Yawei Liu, Guanglong Huang, Yi Liu and Hermann L. Müller. Their work appears in journals such as Journal of neurosurgery, Pituitary, Journal of Neuroinflammation, Neuroendocrinology and Neuro-Oncology.
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.