Gurpreet Singh
Impact in
- Cancer Research top 1%
- Breast Cancer Treatment Studies
Papers in
-
- Breast Cancer Treatment Studies 21
- Co-authors
- S. Eva SingletaryKelly K. HuntLisa A. NewmanHenry M. KuererMerrick I. RossKapil DhingraGabriel N. HortobágyiTerry L. Smith
- Journals
- The Breast Journal (8 papers)Applied immunohistochemistry & molecular morphology (6 papers)Nuclear Medicine Communications (4 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (3 papers)Cancer Biotherapy and Radiopharmaceuticals (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Gurpreet Singh
132 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 1.2k
- Applied Microbiology and Biotechnology 88
- Oncology 1.1k
- Anesthesiology and Pain Medicine 202
- Pathology and Forensic Medicine 625
Countries citing papers authored by Gurpreet Singh
This map shows the geographic impact of Gurpreet Singh'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 Gurpreet Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gurpreet Singh more than expected).
Fields of papers citing papers by Gurpreet Singh
This network shows the impact of papers produced by Gurpreet Singh. 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 Gurpreet Singh. The network helps show where Gurpreet Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Gurpreet Singh, 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 | 2021 | 11 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 16 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 28 | |
| 9 | 2017 | 10 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 187 | |
| 12 | 2016 | 11 | |
| 13 | 2015 | 20 | |
| 14 | 2014 | 10 | |
| 15 | 2013 | 31 | |
| 16 | 2012 | 3 | |
| 17 | 2012 | 29 | |
| 18 | 1995 | 12 | |
| 19 | Linear scleroderma in a family | 1993 | 2 |
| 20 | 1993 | 5 |
About Gurpreet Singh
Gurpreet Singh is a scholar working on Applied Microbiology and Biotechnology, Cancer Research, Oncology, Pathology and Forensic Medicine and Dermatology, having authored 138 papers that have together received 2.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (21 papers), HER2/EGFR in Cancer Research (14 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Medical Imaging Techniques and Applications (9 papers), Cancer and Skin Lesions (9 papers), Cancer Cells and Metastasis (8 papers) and Anesthesia and Pain Management (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Applied Microbiology and Biotechnology (88 citations), Oncology (1.1k citations), Anesthesiology and Pain Medicine (202 citations) and Pathology and Forensic Medicine (625 citations). Gurpreet Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include S. Eva Singletary, Kelly K. Hunt, Lisa A. Newman, Henry M. Kuerer, Merrick I. Ross, Kapil Dhingra, Gabriel N. Hortobágyi, Terry L. Smith, Fred C. Ames and Marsha D. McNeese. Their work appears in journals such as The Breast Journal, Applied immunohistochemistry & molecular morphology, Nuclear Medicine Communications, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Cancer Biotherapy and Radiopharmaceuticals.
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.