Sumit Middha

17.6k total citations
67 papers, 3.6k citations indexed

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 3.6k 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, Belarus and Italy. Sumit Middha's co-authors include Yan W. Asmann, Jared M. Evans, Maneesh Dave, Peter Higgins, Kevin P. Rioux, Marc Ladanyi, Ahmet Zehir, Jaclyn F. Hechtman, Jinru Shia and Michael F. Berger and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Sumit Middha

66 papers receiving 3.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sumit Middha United States 36 1.8k 976 900 642 622 67 3.6k
Yeun‐Jun Chung South Korea 32 1.5k 0.8× 836 0.9× 793 0.9× 559 0.9× 430 0.7× 192 3.4k
Catherine I. Dumur United States 34 1.7k 1.0× 693 0.7× 1.0k 1.1× 342 0.5× 463 0.7× 94 3.4k
Hitoshi Ichikawa Japan 42 2.9k 1.7× 804 0.8× 1.2k 1.3× 440 0.7× 1.2k 1.9× 142 5.0k
Dominique Vidaud France 42 2.2k 1.3× 972 1.0× 708 0.8× 418 0.7× 944 1.5× 126 5.8k
Joel Henderson United States 27 2.1k 1.2× 891 0.9× 420 0.5× 366 0.6× 459 0.7× 68 4.8k
Takayuki Nojima Japan 35 3.1k 1.7× 843 0.9× 633 0.7× 393 0.6× 1.4k 2.2× 176 5.3k
Nicolas Wernert Germany 42 2.5k 1.4× 1.1k 1.1× 1.0k 1.1× 307 0.5× 1.3k 2.1× 154 5.2k
Rama Modali United States 15 1.8k 1.0× 827 0.8× 2.1k 2.4× 559 0.9× 393 0.6× 26 4.0k
Mark P. de Caestecker United States 34 3.0k 1.7× 406 0.4× 675 0.8× 429 0.7× 502 0.8× 71 4.4k
Loris De Cecco Italy 37 2.1k 1.2× 1.3k 1.4× 1.1k 1.2× 290 0.5× 653 1.0× 219 4.1k

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).

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.

Co-authorship network of co-authors of Sumit Middha

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Middha. A scholar is included among the top collaborators of Sumit Middha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sumit Middha. Sumit Middha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hechtman, Jaclyn F., Satshil Rana, Ryan Ptashkin, et al.. (2025). A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing. Nature Communications. 16(1). 136–136.
2.
Suehara, Yoshiyuki, Deepu Alex, Anita S. Bowman, et al.. (2019). Clinical Genomic Sequencing of Pediatric and Adult Osteosarcoma Reveals Distinct Molecular Subsets with Potentially Targetable Alterations. Clinical Cancer Research. 25(21). 6346–6356. 98 indexed citations
3.
Xu, Bin, Ed Reznik, R. Michael Tuttle, et al.. (2019). Outcome and molecular characteristics of non-invasive encapsulated follicular variant of papillary thyroid carcinoma with oncocytic features. Endocrine. 64(1). 97–108. 41 indexed citations
4.
Hechtman, Jaclyn F., Satshil Rana, Sumit Middha, et al.. (2019). Retained mismatch repair protein expression occurs in approximately 6% of microsatellite instability-high cancers and is associated with missense mutations in mismatch repair genes. Modern Pathology. 33(5). 871–879. 71 indexed citations
5.
Scheid, Adam D., Virginia P. Van Keulen, Sara J. Felts, et al.. (2018). Gene Expression Signatures Characterized by Longitudinal Stability and Interindividual Variability Delineate Baseline Phenotypic Groups with Distinct Responses to Immune Stimulation. The Journal of Immunology. 200(5). 1917–1928. 4 indexed citations
6.
Ibrahimpašić, Tihana, Bin Xu, Iñigo Landa, et al.. (2017). Genomic Alterations in Fatal Forms of Non-Anaplastic Thyroid Cancer: Identification of MED12 and RBM10 as Novel Thyroid Cancer Genes Associated with Tumor Virulence. Clinical Cancer Research. 23(19). 5970–5980. 94 indexed citations
7.
Ptashkin, Ryan, Carlos Pagan, Rona Yaeger, et al.. (2017). Chromosome 20q Amplification Defines a Subtype of Microsatellite Stable, Left-Sided Colon Cancers with Wild-type RAS/RAF and Better Overall Survival. Molecular Cancer Research. 15(6). 708–713. 19 indexed citations
8.
Wang, Lu, Olca Baştürk, Jiajing Wang, et al.. (2017). A FISH assay efficiently screens for BRAF gene rearrangements in pancreatic acinar-type neoplasms. Modern Pathology. 31(1). 132–140. 14 indexed citations
9.
Shia, Jinru, Nikolaus Schultz, Deborah Kuk, et al.. (2016). Morphological characterization of colorectal cancers in The Cancer Genome Atlas reveals distinct morphology–molecular associations: clinical and biological implications. Modern Pathology. 30(4). 599–609. 69 indexed citations
10.
Hechtman, Jaclyn F., Ahmet Zehir, Rona Yaeger, et al.. (2015). Identification of Targetable Kinase Alterations in Patients with Colorectal Carcinoma That are Preferentially Associated with Wild-Type RAS/RAF. Molecular Cancer Research. 14(3). 296–301. 43 indexed citations
11.
Kisiel, John B., Massimo Raimondo, William R. Taylor, et al.. (2015). New DNA Methylation Markers for Pancreatic Cancer: Discovery, Tissue Validation, and Pilot Testing in Pancreatic Juice. Clinical Cancer Research. 21(19). 4473–4481. 92 indexed citations
12.
Felts, Sara J., Virginia P. Van Keulen, Adam D. Scheid, et al.. (2015). Gene expression patterns in CD4+ peripheral blood cells in healthy subjects and stage IV melanoma patients. Cancer Immunology Immunotherapy. 64(11). 1437–1447. 4 indexed citations
13.
Larson, Nicholas B., Shannon K. McDonnell, Amy J. French, et al.. (2015). Comprehensively Evaluating cis -Regulatory Variation in the Human Prostate Transcriptome by Using Gene-Level Allele-Specific Expression. The American Journal of Human Genetics. 96(6). 869–882. 28 indexed citations
14.
Evans, Jared M., et al.. (2014). Characterizing Genetic Variation of Adrenergic Signalling Pathways in Takotsubo (Stress) Cardiomyopathy Exomes. European Journal of Heart Failure. 16(9). 942–949. 36 indexed citations
15.
Theis, Jeanne L., Michael T. Zimmermann, Brandon T. Larsen, et al.. (2014). TNNI3K mutation in familial syndrome of conduction system disease, atrial tachyarrhythmia and dilated cardiomyopathy. Human Molecular Genetics. 23(21). 5793–5804. 33 indexed citations
16.
Klein, Christopher J., Sumit Middha, Xiuzhi Duan, et al.. (2014). Application of whole exome sequencing in undiagnosed inherited polyneuropathies. Journal of Neurology Neurosurgery & Psychiatry. 85(11). 1265–1272. 37 indexed citations
17.
Dudakovic, Amel, Jared M. Evans, Ying Li, et al.. (2013). Histone Deacetylase Inhibition Promotes Osteoblast Maturation by Altering the Histone H4 Epigenome and Reduces Akt Phosphorylation. Journal of Biological Chemistry. 288(40). 28783–28791. 77 indexed citations
18.
Dave, Maneesh, Peter Higgins, Sumit Middha, & Kevin P. Rioux. (2012). The human gut microbiome: current knowledge, challenges, and future directions. Translational research. 160(4). 246–257. 231 indexed citations
19.
Asmann, Yan W., Asif Hossain, Brian M. Necela, et al.. (2011). A novel bioinformatics pipeline for identification and characterization of fusion transcripts in breast cancer and normal cell lines. Nucleic Acids Research. 39(15). e100–e100. 80 indexed citations
20.
Costello, James C., Mehmet Dalkılıç, Jeff Gehlhausen, et al.. (2009). Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function. Genome biology. 10(9). R97–R97. 38 indexed citations

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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