Hong Jiang
Impact in
-
- Genetic Neurodegenerative Diseases
- Nuclear Receptors and Signaling
- Hereditary Neurological Disorders
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Neurological disorders and treatments
Papers in
-
- Mitochondrial Function and Pathology 63
- DNA Repair Mechanisms 20
-
- Genetic Neurodegenerative Diseases 94
- Co-authors
- Beisha Tang (162 shared papers)Kun Xia (87 shared papers)Lu Shen (93 shared papers)Junling Wang (66 shared papers)Qian Pan (29 shared papers)Joseph Jankovic (1 shared paper)Weidong Le (1 shared paper)Pingyi Xu (1 shared paper)
- Journals
- Neurobiology of Aging (9 papers)PLoS ONE (9 papers)Movement Disorders (9 papers)Journal of the Neurological Sciences (9 papers)Scientific Reports (6 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hong Jiang
251 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 1.6k
- Neurology 1.0k
- Neurology 501
- Molecular Biology 2.1k
- Cancer Research 339
Countries citing papers authored by Hong Jiang
This map shows the geographic impact of Hong Jiang'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 Hong Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Jiang more than expected).
Fields of papers citing papers by Hong Jiang
This network shows the impact of papers produced by Hong Jiang. 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 Hong Jiang. The network helps show where Hong Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong Jiang, 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 264 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 377 | |
| 2 | 1999 | 188 | |
| 3 | 2005 | 173 | |
| 4 | 2004 | 136 | |
| 5 | 1999 | 117 | |
| 6 | 2016 | 94 | |
| 7 | 2006 | 86 | |
| 8 | 2010 | 74 | |
| 9 | 2011 | 72 | |
| 10 | 2016 | 62 | |
| 11 | 2005 | 62 | |
| 12 | 2013 | 61 | |
| 13 | 2005 | 57 | |
| 14 | 2015 | 56 | |
| 15 | 2008 | 55 | |
| 16 | 2011 | 55 | |
| 17 | 2015 | 53 | |
| 18 | 2016 | 53 | |
| 19 | 2020 | 53 | |
| 20 | 2009 | 44 |
About Hong Jiang
Hong Jiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Genetics, having authored 264 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (94 papers), Mitochondrial Function and Pathology (63 papers), Parkinson's Disease Mechanisms and Treatments (42 papers), Neurological diseases and metabolism (31 papers), Neurological disorders and treatments (20 papers), DNA Repair Mechanisms (20 papers), Amyotrophic Lateral Sclerosis Research (20 papers) and Neurogenetic and Muscular Disorders Research (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Neurology (1.0k citations), Neurology (501 citations), Molecular Biology (2.1k citations) and Cancer Research (339 citations). Hong Jiang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Beisha Tang, Kun Xia, Lu Shen, Junling Wang, Qian Pan, Joseph Jankovic, Weidong Le, Pingyi Xu, Roy G. Smith and Stanley H. Appel. Their work appears in journals such as Neurobiology of Aging, PLoS ONE, Movement Disorders, Journal of the Neurological Sciences and Scientific Reports.
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.