Sumit Middha
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Genetic factors in colorectal cancer
Papers in
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- Cancer Genomics and Diagnostics 19
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- Molecular Biology Techniques and Applications 5
- Genomics and Phylogenetic Studies 4
- Co-authors
- Jared M. Evans (7 shared papers)Yan W. Asmann (7 shared papers)Peter Higgins (1 shared paper)Kevin P. Rioux (1 shared paper)Maneesh Dave (1 shared paper)Marc Ladanyi (13 shared papers)Ahmet Zehir (16 shared papers)Jaclyn F. Hechtman (14 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)PLoS ONE (4 papers)BMC Genomics (3 papers)Clinical Cancer Research (3 papers)Modern Pathology (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sumit Middha
67 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 789
- Pathology and Forensic Medicine 562
- Obstetrics and Gynecology 230
- Oncology 770
- Hematology 259
Countries citing papers authored by Sumit Middha
This map shows the geographic impact of Sumit Middha'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 Sumit Middha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Middha more than expected).
Fields of papers citing papers by Sumit Middha
This network shows the impact of papers produced by Sumit Middha. 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 Sumit Middha. The network helps show where Sumit Middha may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Middha, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 297 | |
| 2 | 2012 | 249 | |
| 3 | 2014 | 247 | |
| 4 | 2017 | 243 | |
| 5 | 2017 | 179 | |
| 6 | 2009 | 141 | |
| 7 | 2014 | 138 | |
| 8 | 2019 | 104 | |
| 9 | 2019 | 103 | |
| 10 | 2016 | 101 | |
| 11 | 2015 | 99 | |
| 12 | 2017 | 97 | |
| 13 | 2013 | 92 | |
| 14 | 2013 | 85 | |
| 15 | 2011 | 83 | |
| 16 | 2013 | 78 | |
| 17 | 2019 | 78 | |
| 18 | 2015 | 76 | |
| 19 | 2019 | 73 | |
| 20 | 2016 | 71 |
About Sumit Middha
Sumit Middha is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 67 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Genetic factors in colorectal cancer (15 papers), Colorectal Cancer Treatments and Studies (6 papers), Molecular Biology Techniques and Applications (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Genomics and Rare Diseases (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (789 citations), Pathology and Forensic Medicine (562 citations), Obstetrics and Gynecology (230 citations), Oncology (770 citations) and Hematology (259 citations). Sumit Middha has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jared M. Evans, Yan W. Asmann, Peter Higgins, Kevin P. Rioux, Maneesh Dave, Marc Ladanyi, Ahmet Zehir, Jaclyn F. Hechtman, Michael F. Berger and Jinru Shia. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, BMC Genomics, Clinical Cancer Research and Modern Pathology.
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.