Sumit Middha

67 papers and 3.4k indexed citations i.

About

Sumit Middha is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Sumit Middha has authored 67 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Cancer Research and 20 papers in Pathology and Forensic Medicine. Recurrent topics in Sumit Middha’s work include Cancer Genomics and Diagnostics (23 papers), Genetic factors in colorectal cancer (17 papers) and Colorectal Cancer Treatments and Studies (8 papers). Sumit Middha is often cited by papers focused on Cancer Genomics and Diagnostics (23 papers), Genetic factors in colorectal cancer (17 papers) and Colorectal Cancer Treatments and Studies (8 papers). Sumit Middha collaborates with scholars based in United States, Italy and Canada. Sumit Middha's co-authors include Yan W. Asmann, Jared M. Evans, Kevin P. Rioux, Maneesh Dave, Peter Higgins, Marc Ladanyi, Ahmet Zehir, Zhifu Sun, Michael F. Berger and Jaclyn F. Hechtman and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Co-authorship network of co-authors of Sumit Middha i

Fields of papers citing papers by Sumit Middha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sumit Middha

Since Specialization
Citations

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).

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.

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2025