Xi Jin
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
-
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Spinal Cord Injury Research 5
- Co-authors
- Qing Li (5 shared papers)He‐Zuo Lü (6 shared papers)Gina M. Ney (5 shared papers)Jianguo Hu (6 shared papers)Lu Liu (4 shared papers)Robert A. Pearce (1 shared paper)William P. Dailey (1 shared paper)Roderic G. Eckenhoff (1 shared paper)
- Journals
- China CDC Weekly (2 papers)Scientific Reports (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Disease Models & Mechanisms (1 paper)Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xi Jin
31 papers receiving 496 citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 55
- Hematology 52
- Cell Biology 76
- Cellular and Molecular Neuroscience 81
- Genetics 47
Countries citing papers authored by Xi Jin
This map shows the geographic impact of Xi Jin'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 Xi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Jin more than expected).
Fields of papers citing papers by Xi Jin
This network shows the impact of papers produced by Xi Jin. 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 Xi Jin. The network helps show where Xi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Jin, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2010 | 62 | |
| 3 | 2020 | 47 | |
| 4 | 2011 | 37 | |
| 5 | 2017 | 33 | |
| 6 | 2016 | 33 | |
| 7 | 2011 | 26 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2008 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2019 | 8 |
About Xi Jin
Xi Jin is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Epidemiology and Hematology, having authored 34 papers that have together received 499 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Sex work and related issues (3 papers), Syphilis Diagnosis and Treatment (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Developmental Neuroscience (55 citations), Hematology (52 citations), Cell Biology (76 citations), Cellular and Molecular Neuroscience (81 citations) and Genetics (47 citations). Xi Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qing Li, He‐Zuo Lü, Gina M. Ney, Jianguo Hu, Lu Liu, Robert A. Pearce, William P. Dailey, Roderic G. Eckenhoff, Shuiping Dai and Lin Shen. Their work appears in journals such as China CDC Weekly, Scientific Reports, Frontiers in Cell and Developmental Biology, Disease Models & Mechanisms and Toxicology.
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.