Rohit Bhargava

8.1k total citations
171 papers, 5.5k citations indexed

About

Rohit Bhargava is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Rohit Bhargava has authored 171 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Cancer Research, 80 papers in Oncology and 49 papers in Pathology and Forensic Medicine. Recurrent topics in Rohit Bhargava's work include Breast Cancer Treatment Studies (69 papers), HER2/EGFR in Cancer Research (44 papers) and Breast Lesions and Carcinomas (36 papers). Rohit Bhargava is often cited by papers focused on Breast Cancer Treatment Studies (69 papers), HER2/EGFR in Cancer Research (44 papers) and Breast Lesions and Carcinomas (36 papers). Rohit Bhargava collaborates with scholars based in United States, Canada and India. Rohit Bhargava's co-authors include David J. Dabbs, Sushil Beriwal, Adam Brufsky, Mamatha Chivukula, Joan M. Striebel, Beiyun Chen, Priti Lal, Leo A. Niemeier, Beth Z. Clark and Marc Ladanyi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Rohit Bhargava

166 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohit Bhargava United States 41 2.8k 2.4k 1.6k 1.2k 1.1k 171 5.5k
Caterina Marchiò Italy 42 2.9k 1.0× 2.4k 1.0× 2.2k 1.4× 984 0.8× 1.2k 1.0× 163 5.8k
Charlotte K.Y. Ng Switzerland 42 2.6k 0.9× 3.5k 1.5× 2.4k 1.5× 1.5k 1.2× 1.4k 1.2× 120 6.5k
Constance T. Albarracin United States 43 1.7k 0.6× 2.1k 0.9× 1.8k 1.1× 851 0.7× 1.3k 1.2× 122 5.2k
Brigitte Sigal‐Zafrani France 36 2.3k 0.8× 2.2k 0.9× 1.0k 0.7× 541 0.5× 1.1k 1.0× 110 4.5k
Frances P. O’Malley Canada 43 3.1k 1.1× 2.7k 1.1× 2.1k 1.3× 671 0.6× 1.6k 1.4× 94 6.5k
Takayuki Kinoshita Japan 34 1.9k 0.7× 2.1k 0.9× 900 0.6× 737 0.6× 1.1k 1.0× 174 4.2k
Futoshi Akiyama Japan 41 2.5k 0.9× 2.7k 1.1× 1.7k 1.0× 635 0.5× 2.1k 1.9× 251 6.1k
Hervé Bonnefoi France 31 2.8k 1.0× 2.5k 1.1× 1.6k 1.0× 994 0.8× 758 0.7× 135 5.0k
Marick Laé France 37 2.0k 0.7× 1.3k 0.5× 1.7k 1.0× 2.1k 1.7× 1.2k 1.1× 124 5.7k
Felipe C. Geyer United Kingdom 32 2.1k 0.8× 2.0k 0.8× 2.1k 1.3× 697 0.6× 956 0.8× 51 4.5k

Countries citing papers authored by Rohit Bhargava

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Bhargava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Bhargava

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Bhargava. A scholar is included among the top collaborators of Rohit Bhargava 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 Rohit Bhargava. Rohit Bhargava 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.
Zuley, Margarita L., Andriy I. Bandos, Stephen W. Duffy, et al.. (2024). Breast Cancer Screening Interval: Effect on Rate of Late-Stage Disease at Diagnosis and Overall Survival. Journal of Clinical Oncology. 42(32). 3837–3846. 3 indexed citations
2.
Elishaev, Esther, T. Rinda Soong, Mirka W. Jones, et al.. (2023). Utility of TRPS1 immunohistochemistry in confirming breast carcinoma: Emphasis on staining in triple-negative breast cancers and gynecologic tumors. American Journal of Clinical Pathology. 160(4). 425–434. 8 indexed citations
3.
Nasrazadani, Azadeh, Yujia Li, Yusi Fang, et al.. (2023). Mixed invasive ductal lobular carcinoma is clinically and pathologically more similar to invasive lobular than ductal carcinoma. British Journal of Cancer. 128(6). 1030–1039. 7 indexed citations
4.
Wang, Tiannan, et al.. (2023). Clinicopathologic diagnosis of dVIN related vulvar squamous cell carcinoma: An extended appraisal from a tertiary women's hospital. SHILAP Revista de lepidopterología. 3(1). 30–37. 1 indexed citations
5.
Bhargava, Rohit & David J. Dabbs. (2022). The Story of the Magee Equations: The Ultimate in Applied Immunohistochemistry. Applied immunohistochemistry & molecular morphology. 31(7). 490–499. 5 indexed citations
6.
Zhu, Li, Robert P. Edwards, Alexander Olawaiye, et al.. (2020). Impact of Ki-67 Labeling Index on Prognostic Significance of the Chemotherapy Response Score in Women With Tubo-ovarian Cancer Treated With Neoadjuvant Chemotherapy. International Journal of Gynecological Pathology. 40(3). 278–285. 7 indexed citations
7.
Han, Min, Li Zhu, Huina Zhang, et al.. (2019). Metaplastic breast carcinoma: a clinical-pathologic study of 97 cases with subset analysis of response to neoadjuvant chemotherapy. Modern Pathology. 32(6). 807–816. 54 indexed citations
8.
Clark, Beth Z., et al.. (2018). Breast cancer global tumor biomarkers: a quality assurance study of intratumoral heterogeneity. Modern Pathology. 32(3). 354–366. 25 indexed citations
9.
10.
Farrugia, Daniel J., Li Zhu, Emilia J. Diego, et al.. (2017). Magee Equation 3 predicts pathologic response to neoadjuvant systemic chemotherapy in estrogen receptor positive, HER2 negative/equivocal breast tumors. Modern Pathology. 30(8). 1078–1085. 27 indexed citations
11.
Gurda, Grzegorz T., Svetlana A. Yatsenko, Aleksandar Rajkovic, et al.. (2017). Synchronous Bilateral Tubal Serous Carcinomas in a Patient With Exon 13 Duplication and Loss of Function of BRCA1. International Journal of Gynecological Pathology. 37(2). 117–122. 2 indexed citations
12.
Gyanchandani, Rekha, Yan Lin, Hui‐Min Lin, et al.. (2016). Intratumor Heterogeneity Affects Gene Expression Profile Test Prognostic Risk Stratification in Early Breast Cancer. Clinical Cancer Research. 22(21). 5362–5369. 53 indexed citations
13.
Li, Zaibo, David J. Dabbs, Kristine Cooper, & Rohit Bhargava. (2015). Dual HER2 Gene Protein Assay. American Journal of Clinical Pathology. 143(3). 451–458. 11 indexed citations
14.
Dabbs, David J., et al.. (2014). Low ER+ Breast Cancer. American Journal of Clinical Pathology. 141(5). 697–701. 40 indexed citations
15.
Kanbour‐Shakir, Amal, et al.. (2012). Morphologic Features Do Not Influence Response to Trastuzumab-containing Neoadjuvant Chemotherapy in HER2-positive Breast Cancer. Applied immunohistochemistry & molecular morphology. 21(5). 420–425. 1 indexed citations
16.
17.
Dabbs, David J., Molly Klein, Syed K. Mohsin, et al.. (2011). High False-Negative Rate of HER2 Quantitative Reverse Transcription Polymerase Chain Reaction of the Oncotype DX Test: An Independent Quality Assurance Study. Journal of Clinical Oncology. 29(32). 4279–4285. 115 indexed citations
18.
Bhargava, Rohit, Sushil Beriwal, David J. Dabbs, et al.. (2010). Immunohistochemical surrogate markers of breast cancer molecular classes predicts response to neoadjuvant chemotherapy. Cancer. 116(6). 1431–1439. 117 indexed citations
19.
Dabbs, David J., Mamatha Chivukula, Gloria Carter, & Rohit Bhargava. (2006). Basal phenotype of ductal carcinoma in situ: recognition and immunohistologic profile. Modern Pathology. 19(11). 1506–1511. 102 indexed citations
20.
Bhargava, Rohit, et al.. (1991). Prevalence of dermatoses in the neonates in Pondichery. Indian Journal of Dermatology Venereology and Leprology. 57(1). 25–28. 19 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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