Susan Jin
Impact in
- Reproductive Medicine top 10%
- Ovarian function and disorders
- Reproductive Health and Technologies
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- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 3
- CAR-T cell therapy research 2
- Cutaneous Melanoma Detection and Management 1
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- Multiple Myeloma Research and Treatments 2
- Co-authors
- Rajeshwari Sridhara (4 shared papers)Richard Pazdur (5 shared papers)Esther Eisenberg (4 shared papers)Pallavi S. Mishra‐Kalyani (2 shared papers)Gregory M. Christman (4 shared papers)Nanette Santoro (4 shared papers)Michael P. Diamond (4 shared papers)Heping Zhang (4 shared papers)
- Journals
- Therapeutic Innovation & Regulatory Science (2 papers)Blood (2 papers)Human Reproduction (2 papers)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Susan Jin
10 papers receiving 273 citations
Peers
Comparison fields: 5 of 51
- Reproductive Medicine 63
- Oncology 54
- Endocrinology, Diabetes and Metabolism 31
- Obstetrics and Gynecology 13
- Public Health, Environmental and Occupational Health 44
Countries citing papers authored by Susan Jin
This map shows the geographic impact of Susan 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 Susan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Jin more than expected).
Fields of papers citing papers by Susan Jin
This network shows the impact of papers produced by Susan 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 Susan Jin. The network helps show where Susan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 134 | |
| 2 | 2017 | 40 | |
| 3 | 2016 | 38 | |
| 4 | 2020 | 25 | |
| 5 | 2015 | 19 | |
| 6 | 2018 | 11 | |
| 7 | 2018 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2018 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 0 |
About Susan Jin
Susan Jin is a scholar working on Oncology, Hematology, Reproductive Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 11 papers that have together received 278 indexed citations. Recurring topics across this work include Ovarian function and disorders (2 papers), Multiple Myeloma Research and Treatments (2 papers), CAR-T cell therapy research (2 papers), Gynecological conditions and treatments (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Melanoma and MAPK Pathways (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Reproductive Medicine (63 citations), Oncology (54 citations), Endocrinology, Diabetes and Metabolism (31 citations), Obstetrics and Gynecology (13 citations) and Public Health, Environmental and Occupational Health (44 citations). Susan Jin has collaborated with scholars based in United States and China. Frequent co-authors include Rajeshwari Sridhara, Richard Pazdur, Esther Eisenberg, Pallavi S. Mishra‐Kalyani, Gregory M. Christman, Nanette Santoro, Michael P. Diamond, Heping Zhang, Hao Huang and Christos Coutifaris. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Blood, Human Reproduction, Journal of Clinical Oncology and Clinical Cancer Research.
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.