Sumit Middha
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Genetic factors in colorectal cancer
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA modifications and cancer 5
- Molecular Biology Techniques and Applications 5
-
- Cancer Genomics and Diagnostics 23
- Cancer-related molecular mechanisms research 5
- Co-authors
- Yan W. Asmann (7 shared papers)Jared M. Evans (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)Clinical Cancer Research (3 papers)Modern Pathology (3 papers)BMC Genomics (3 papers)
- Partner nations
- United StatesBelarusItaly
In The Last Decade
Sumit Middha
66 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 976
- Pathology and Forensic Medicine 642
- Oncology 900
- Obstetrics and Gynecology 221
- Molecular Biology 1.8k
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 | 286 | |
| 2 | 2014 | 239 | |
| 3 | 2017 | 238 | |
| 4 | 2012 | 231 | |
| 5 | 2017 | 169 | |
| 6 | 2009 | 135 | |
| 7 | 2014 | 131 | |
| 8 | 2019 | 100 | |
| 9 | 2019 | 98 | |
| 10 | 2017 | 94 | |
| 11 | 2015 | 92 | |
| 12 | 2016 | 92 | |
| 13 | 2013 | 89 | |
| 14 | 2013 | 83 | |
| 15 | 2011 | 80 | |
| 16 | 2013 | 77 | |
| 17 | 2019 | 75 | |
| 18 | 2019 | 71 | |
| 19 | 2016 | 70 | |
| 20 | 2016 | 69 |
About Sumit Middha
Sumit Middha is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Genetics, having authored 67 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (23 papers), Genetic factors in colorectal cancer (17 papers), Colorectal Cancer Treatments and Studies (8 papers), Genomics and Phylogenetic Studies (7 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Molecular Biology Techniques and Applications (5 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Cancer Research (976 citations), Pathology and Forensic Medicine (642 citations), Oncology (900 citations), Obstetrics and Gynecology (221 citations) and Molecular Biology (1.8k citations). Sumit Middha has collaborated with scholars based in United States, Belarus and Italy. Frequent co-authors include Yan W. Asmann, Jared M. Evans, Peter Higgins, Kevin P. Rioux, Maneesh Dave, Marc Ladanyi, Ahmet Zehir, Jaclyn F. Hechtman, Jinru Shia and Michael F. Berger. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Clinical Cancer Research, Modern Pathology and BMC Genomics.
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.