Krishna M. Sinha

1.4k total citations
26 papers, 1.0k citations indexed

About

Krishna M. Sinha is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Krishna M. Sinha has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Pathology and Forensic Medicine and 8 papers in Cancer Research. Recurrent topics in Krishna M. Sinha's work include Genetic factors in colorectal cancer (11 papers), Bone Metabolism and Diseases (8 papers) and Epigenetics and DNA Methylation (5 papers). Krishna M. Sinha is often cited by papers focused on Genetic factors in colorectal cancer (11 papers), Bone Metabolism and Diseases (8 papers) and Epigenetics and DNA Methylation (5 papers). Krishna M. Sinha collaborates with scholars based in United States, China and Australia. Krishna M. Sinha's co-authors include Xin Zhou, Benoît De Crombrugghe, Xin Zhou, Bryant G. Darnay, Zhaoping Zhang, V. Dusevich, Jian Q. Feng, Hua Zhang, Hideyo Yasuda and Qin Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Krishna M. Sinha

23 papers receiving 1.0k citations

Peers

Krishna M. Sinha

ONCOL

GENET

RHEUM

Hiromasa Aoki Japan

Ximeng Liu United States

Fumitaka Ichida Japan

Soraya Gutiérrez United States

Naomi Dirckx United States

Vincent Kuek Australia

Eriko Aoyama Japan

Won‐Joon Yoon South Korea

Byung‐Chul Jeong South Korea

Weike Si China

Hiromasa Aoki Japan

Krishna M. Sinha

777 ×1.1

194 ×1.2

ONCOL

98 ×0.6

115 ×0.9

GENET

144 ×1.3

RHEUM

Citations per year, relative to Krishna M. Sinha Krishna M. Sinha (= 1×) peers Hiromasa Aoki

Countries citing papers authored by Krishna M. Sinha

Since Specialization

Citations

This map shows the geographic impact of Krishna M. Sinha'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 Krishna M. Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna M. Sinha more than expected).

Fields of papers citing papers by Krishna M. Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna M. Sinha. 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 Krishna M. Sinha. The network helps show where Krishna M. Sinha may publish in the future.

Co-authorship network of co-authors of Krishna M. Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna M. Sinha. A scholar is included among the top collaborators of Krishna M. Sinha 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 Krishna M. Sinha. Krishna M. Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Düzağaç, Fahriye, Abel Martel-Martel, Laura Reyes-Uribe, et al.. (2025). Inhibition of histone methyltransferase EZH2 for immune interception of colorectal cancer in Lynch syndrome. JCI Insight. 10(6). 3 indexed citations

Deng, Nan, Krishna M. Sinha, & Eduardo Vilar. (2024). MONET: a database for prediction of neoantigens derived from microsatellite loci. Frontiers in Immunology. 15. 1394593–1394593.

Düzağaç, Fahriye, Nan Deng, Laura Reyes-Uribe, et al.. (2024). Genomic Landscape of Lynch Syndrome Colorectal Neoplasia Identifies Shared Mutated Neoantigens for Immunoprevention. Gastroenterology. 166(5). 787–801.e11. 17 indexed citations

Sinha, Krishna M., et al.. (2024). Immunoprevention Strategies for Colorectal Cancer in Lynch Syndrome Carriers. The Cancer Journal. 30(5). 352–356. 2 indexed citations

Deng, Nan, Laura Reyes-Uribe, Edwin R. Parra, et al.. (2023). Naproxen chemoprevention induces proliferation of cytotoxic lymphocytes in Lynch Syndrome colorectal mucosa. Frontiers in Immunology. 14. 1162669–1162669. 3 indexed citations

Düzağaç, Fahriye, et al.. (2023). Advances in vaccine development for cancer prevention and treatment in Lynch Syndrome. Molecular Aspects of Medicine. 93. 101204–101204. 8 indexed citations

Deng, Nan, Laura Reyes-Uribe, Edwin R. Parra, et al.. (2023). Naproxen Chemoprevention Induces Proliferation of Cytotoxic Lymphocytes in Lynch Syndrome Colorectal Mucosa. Zenodo (CERN European Organization for Nuclear Research).

Gray, Stanton B., Laura Reyes-Uribe, Nan Deng, et al.. (2022). Comparative molecular genomic analyses of a spontaneous rhesus macaque model of mismatch repair-deficient colorectal cancer. PLoS Genetics. 18(4). e1010163–e1010163. 9 indexed citations

Borràs, Ester, Wenhui Wu, Kyle Chang, et al.. (2021). Combination of Sulindac and Bexarotene for Prevention of Intestinal Carcinogenesis in Familial Adenomatous Polyposis. Cancer Prevention Research. 14(9). 851–862. 10 indexed citations

10.

Lu, Aiping, Ping Guo, Haiying Pan, et al.. (2021). Enhancement of myogenic potential of muscle progenitor cells and muscle healing during pregnancy. The FASEB Journal. 35(3). e21378–e21378. 2 indexed citations

11.

Sinha, Krishna M., Rozita Bagheri‐Yarmand, Yue Lu, et al.. (2019). Oncogenic and osteolytic functions of histone demethylase NO66 in castration-resistant prostate cancer. Oncogene. 38(25). 5038–5049. 16 indexed citations

12.

Sinha, Krishna M., Nermin Kahraman, Fahriye Düzağaç, et al.. (2019). Abstract 1156: Skeletal muscle progenitor cell-derived exosomes have therapeutic potential in inhibition of prostate cancer cell proliferation. Cancer Research. 79(13_Supplement). 1156–1156. 1 indexed citations

13.

Bagheri‐Yarmand, Rozita, Krishna M. Sinha, Ling Li, et al.. (2018). Combinations of Tyrosine Kinase Inhibitor and ERAD Inhibitor Promote Oxidative Stress–Induced Apoptosis through ATF4 and KLF9 in Medullary Thyroid Cancer. Molecular Cancer Research. 17(3). 751–760. 26 indexed citations

14.

Rashid, Harunur, et al.. (2018). Specificity Protein 7 Is Required for Proliferation and Differentiation of Ameloblasts and Odontoblasts. Journal of Bone and Mineral Research. 33(6). 1126–1140. 33 indexed citations

15.

Garcia, Thomas X., et al.. (2017). The NOTCH Ligand JAG1 Regulates GDNF Expression in Sertoli Cells. Stem Cells and Development. 26(8). 585–598. 51 indexed citations

16.

Chen, Qin, Wenbin Liu, Krishna M. Sinha, Hideyo Yasuda, & Benoît De Crombrugghe. (2013). Identification and Characterization of MicroRNAs Controlled by the Osteoblast-Specific Transcription Factor Osterix. PLoS ONE. 8(3). e58104–e58104. 50 indexed citations

17.

Yue, Tao, Minhao Wu, Yin Wu, et al.. (2013). Structural Insights into Histone Demethylase NO66 in Interaction with Osteoblast-specific Transcription Factor Osterix and Gene Repression. Journal of Biological Chemistry. 288(23). 16430–16437. 13 indexed citations

18.

Brien, Gerard L., David O’Connell, Emilia Jerman, et al.. (2012). Polycomb PHF19 binds H3K36me3 and recruits PRC2 and demethylase NO66 to embryonic stem cell genes during differentiation. Nature Structural & Molecular Biology. 19(12). 1273–1281. 192 indexed citations

19.

Sinha, Krishna M. & Xin Zhou. (2012). Genetic and molecular control of osterix in skeletal formation. Journal of Cellular Biochemistry. 114(5). 975–984. 234 indexed citations

20.

Zhou, Xin, Zhaoping Zhang, Jian Q. Feng, et al.. (2010). Multiple functions of Osterix are required for bone growth and homeostasis in postnatal mice. Proceedings of the National Academy of Sciences. 107(29). 12919–12924. 257 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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