Salendra Singh

1.2k total citations · 1 hit paper
23 papers, 671 citations indexed

About

Salendra Singh is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Salendra Singh has authored 23 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Salendra Singh's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Genomics and Diagnostics (4 papers). Salendra Singh is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Genomics and Diagnostics (4 papers). Salendra Singh collaborates with scholars based in United States, France and Canada. Salendra Singh's co-authors include Vinay Varadan, Niha Beig, Prateek Prasanna, Anant Madabhushi, Kaustav Bera, Nathaniel Braman, Virginia Hill, Pallavi Tiwari, Manmeet S. Ahluwalia and Ramón Correa and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Salendra Singh

20 papers receiving 668 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer

2019 235 citations Nathaniel Braman, Prateek Prasanna et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salendra Singh United States	11	409	178	129	121	117	23	671
Milan Grkovski United States	13	369 0.9×	69 0.4×	157 1.2×	126 1.0×	62 0.5×	44	550
Dalu Yang United States	5	167 0.4×	119 0.7×	61 0.5×	108 0.9×	104 0.9×	5	625
Alfredo Zito Italy	14	248 0.6×	141 0.8×	92 0.7×	88 0.7×	28 0.2×	28	572
Jan‐Michael Werner Germany	17	428 1.0×	85 0.5×	211 1.6×	89 0.7×	488 4.2×	58	779
Amy N. Melsaether United States	17	845 2.1×	85 0.5×	181 1.4×	128 1.1×	19 0.2×	34	1.1k
Zhiyan Sun China	12	280 0.7×	150 0.8×	183 1.4×	149 1.2×	307 2.6×	28	579
Inge Compter Netherlands	11	130 0.3×	98 0.6×	124 1.0×	62 0.5×	129 1.1×	36	450
Maud H. W. Starmans Netherlands	15	337 0.8×	504 2.8×	309 2.4×	371 3.1×	36 0.3×	26	1.1k
Roman Ludwig Switzerland	9	187 0.5×	124 0.7×	68 0.5×	63 0.5×	137 1.2×	21	518
Niamh Coleman United States	14	110 0.3×	204 1.1×	256 2.0×	129 1.1×	90 0.8×	41	662

Countries citing papers authored by Salendra Singh

Since Specialization

Citations

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

Fields of papers citing papers by Salendra Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salendra Singh. 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 Salendra Singh. The network helps show where Salendra Singh may publish in the future.

Co-authorship network of co-authors of Salendra Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Salendra Singh. A scholar is included among the top collaborators of Salendra Singh 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 Salendra Singh. Salendra Singh 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

Jurić, Ivan, Salendra Singh, Patricia Rayman, et al.. (2025). Responses to checkpoint inhibition in metastatic triple negative breast cancer driven by divergent myeloid phenotypes. Communications Medicine. 5(1). 180–180.

Singh, Salendra, et al.. (2025). LincPRKD: A Long Intergenic Noncoding RNA Activated in Gastric Cancer. Gastro Hep Advances. 4(5). 100618–100618.

Singh, Salendra, et al.. (2024). Targeting YES1 Disrupts Mitotic Fidelity and Potentiates the Response to Taxanes in Triple-Negative Breast Cancer. Cancer Research. 84(21). 3556–3573. 2 indexed citations

Anstine, Lindsey J., Salendra Singh, Fadi W. Abdul‐Karim, et al.. (2023). TLE3 Sustains Luminal Breast Cancer Lineage Fidelity to Suppress Metastasis. Cancer Research. 83(7). 997–1015. 3 indexed citations

Singh, Salendra, Amitabh Chak, David G. Beer, et al.. (2023). Discovery and Initial Characterization of Long Intergenic Noncoding RNAs Associated With Esophageal Adenocarcinoma. Gastroenterology. 165(2). 505–508.e7. 2 indexed citations

Joseph, Peronne, Salendra Singh, Adam Kresak, et al.. (2022). The Ephrin B2 Receptor Tyrosine Kinase Is a Regulator of Proto-oncogene MYC and Molecular Programs Central to Barrett’s Neoplasia. Gastroenterology. 163(5). 1228–1241. 12 indexed citations

Blum, Andrew E., Salendra Singh, Adam Kresak, et al.. (2022). HNF4A Defines Molecular Subtypes and Vulnerability to Transforming Growth Factor β-Pathway Targeted Therapies in Cancers of the Distal Esophagus. Gastroenterology. 163(5). 1457–1460. 3 indexed citations

Khalighi, Sirvan, Peronne Joseph, Salendra Singh, et al.. (2022). SYSMut: decoding the functional significance of rare somatic mutations in cancer. Briefings in Bioinformatics. 23(4).

Schrock, Morgan S., Darcie D. Seachrist, Stefanie Avril, et al.. (2020). LIN9 and NEK2 Are Core Regulators of Mitotic Fidelity That Can Be Therapeutically Targeted to Overcome Taxane Resistance. Cancer Research. 80(8). 1693–1706. 29 indexed citations

10.

Beig, Niha, Kaustav Bera, Prateek Prasanna, et al.. (2020). Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma. Clinical Cancer Research. 26(8). 1866–1876. 92 indexed citations

11.

Seachrist, Darcie D., Bryan M. Webb, Peng Yu, et al.. (2020). The transcriptional repressor BCL11A promotes breast cancer metastasis. Journal of Biological Chemistry. 295(33). 11707–11719. 20 indexed citations

12.

Khalighi, Sirvan, Salendra Singh, & Vinay Varadan. (2020). Untangling a complex web: Computational analyses of tumor molecular profiles to decode driver mechanisms. Journal of genetics and genomics. 47(10). 595–609. 2 indexed citations

13.

Braman, Nathaniel, Prateek Prasanna, Jon Whitney, et al.. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer. JAMA Network Open. 2(4). e192561–e192561. 235 indexed citations breakdown →

14.

Singh, Salendra, Jarey H. Wang, Jonathan Rennhack, et al.. (2019). Reduction of Global H3K27me3 Enhances HER2/ErbB2 Targeted Therapy. Cell Reports. 29(2). 249–257.e8. 29 indexed citations

15.

Nagaraj, Anil Belur, Peronne Joseph, Yuriy Fedorov, et al.. (2019). A miRNA-Mediated Approach to Dissect the Complexity of Tumor-Initiating Cell Function and Identify miRNA-Targeting Drugs. Stem Cell Reports. 12(1). 122–134. 8 indexed citations

16.

Beig, Niha, Jay Patel, Prateek Prasanna, et al.. (2018). Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. Scientific Reports. 8(1). 7–7. 114 indexed citations

17.

Dimitrova, Nevenka, Anil Belur Nagaraj, Abolfazl Razi, et al.. (2016). InFlo: a novel systems biology framework identifies cAMP-CREB1 axis as a key modulator of platinum resistance in ovarian cancer. Oncogene. 36(17). 2472–2482. 18 indexed citations

18.

Afghah, Fatemeh, et al.. (2016). Network-Based Enriched Gene Subnetwork Identification: A Game-Theoretic Approach. SHILAP Revista de lepidopterología. 7s2(Suppl 2). BECB.S38244–BECB.S38244. 7 indexed citations

19.

Madhavan, Subha, Yuriy Gusev, Salendra Singh, & Rebecca B. Riggins. (2015). ERRγ target genes are poor prognostic factors in Tamoxifen-treated breast cancer. Journal of Experimental & Clinical Cancer Research. 34(1). 45–45. 36 indexed citations

20.

Varadan, Vinay, Salendra Singh, Arman Nosrati, et al.. (2015). ENVE: a novel computational framework characterizes copy-number mutational landscapes in colorectal cancers from African American patients. Genome Medicine. 7(1). 69–69. 2 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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