S. Verma
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cutaneous Melanoma Detection and Management
- Cancer Treatment and Pharmacology
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- Breast Cancer Treatment Studies
Papers in
- Oncology 13
- Cancer Treatment and Pharmacology 8
- HER2/EGFR in Cancer Research 4
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- Economic and Financial Impacts of Cancer 7
- Health Systems, Economic Evaluations, Quality of Life 5
- Co-authors
- B P Will (3 shared papers)Christel Le Petit (2 shared papers)Eva Tomiak (3 shared papers)William K. Evans (2 shared papers)J.M. Berthelot (2 shared papers)Ian Quirt (2 shared papers)Joel Werier (2 shared papers)Rita A. Kandel (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Research (2 papers)European Journal of Cancer (2 papers)British Journal of Cancer (1 paper)Quality of Life Research (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
S. Verma
20 papers receiving 670 citations
Peers
Comparison fields: 5 of 77
- Oncology 447
- Cancer Research 151
- Pulmonary and Respiratory Medicine 246
- Economics and Econometrics 120
- Rheumatology 56
Countries citing papers authored by S. Verma
This map shows the geographic impact of S. Verma'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 S. Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Verma more than expected).
Fields of papers citing papers by S. Verma
This network shows the impact of papers produced by S. Verma. 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 S. Verma. The network helps show where S. Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Verma, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 122 | |
| 2 | 1996 | 118 | |
| 3 | 2016 | 114 | |
| 4 | 2013 | 77 | |
| 5 | 2012 | 41 | |
| 6 | 2001 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 1999 | 29 | |
| 9 | 2010 | 24 | |
| 10 | 2014 | 24 | |
| 11 | 2007 | 18 | |
| 12 | 2009 | 16 | |
| 13 | 2016 | 14 | |
| 14 | 2016 | 10 | |
| 15 | 2011 | 6 | |
| 16 | 2007 | 5 | |
| 17 | 2009 | 5 | |
| 18 | 1997 | 1 | |
| 19 | 2007 | 1 | |
| 20 | 2009 | 1 |
About S. Verma
S. Verma is a scholar working on Oncology, Economics and Econometrics, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 21 papers that have together received 691 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Economic and Financial Impacts of Cancer (7 papers), Breast Cancer Treatment Studies (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), HER2/EGFR in Cancer Research (4 papers), Advanced Breast Cancer Therapies (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Oncology (447 citations), Cancer Research (151 citations), Pulmonary and Respiratory Medicine (246 citations), Economics and Econometrics (120 citations) and Rheumatology (56 citations). S. Verma has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include B P Will, Christel Le Petit, Eva Tomiak, William K. Evans, J.M. Berthelot, Ian Quirt, Joel Werier, Rita A. Kandel, Michelle Ghert and N. Coakley. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, European Journal of Cancer, British Journal of Cancer and Quality of Life 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.