Sandeep Mathur

4.5k total citations
270 papers, 3.0k citations indexed

About

Sandeep Mathur is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Sandeep Mathur has authored 270 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Oncology, 68 papers in Pulmonary and Respiratory Medicine and 63 papers in Surgery. Recurrent topics in Sandeep Mathur's work include Breast Cancer Treatment Studies (45 papers), Breast Lesions and Carcinomas (25 papers) and Ovarian cancer diagnosis and treatment (22 papers). Sandeep Mathur is often cited by papers focused on Breast Cancer Treatment Studies (45 papers), Breast Lesions and Carcinomas (25 papers) and Ovarian cancer diagnosis and treatment (22 papers). Sandeep Mathur collaborates with scholars based in India, United States and Canada. Sandeep Mathur's co-authors include Venkateswaran K. Iyer, Deepali Jain, Chandra Prakash Prasad, Gayatri Rath, Ranju Ralhan, Dinesh Bhatnagar, Rajinder Parshad, Rajani Mathur, Neerja Bhatla and Ajay Gogia and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Sandeep Mathur

249 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Mathur India 27 926 735 651 552 519 270 3.0k
Dorothea Nagel Germany 41 1.2k 1.3× 1.2k 1.7× 605 0.9× 568 1.0× 974 1.9× 86 3.9k
Cheng‐Ping Yu Taiwan 34 848 0.9× 1.3k 1.8× 619 1.0× 765 1.4× 535 1.0× 163 3.6k
Lori C. Sakoda United States 36 1.4k 1.5× 1.2k 1.7× 962 1.5× 1.2k 2.2× 927 1.8× 125 4.1k
Antonio M. Ballesta Spain 33 985 1.1× 984 1.3× 431 0.7× 497 0.9× 256 0.5× 101 3.4k
Jiping Wang United States 36 1.5k 1.6× 1.1k 1.5× 865 1.3× 1.2k 2.1× 588 1.1× 141 4.1k
Rohini Sharma United Kingdom 38 2.3k 2.5× 931 1.3× 643 1.0× 801 1.5× 1.0k 2.0× 154 5.0k
Faruk Taş Türkiye 26 1.5k 1.7× 978 1.3× 311 0.5× 563 1.0× 435 0.8× 172 2.9k
Caimiao Wei United States 29 1.4k 1.6× 971 1.3× 610 0.9× 1.1k 2.0× 727 1.4× 61 3.5k
Katja K.H. Aben Netherlands 33 1.1k 1.2× 1.1k 1.5× 2.2k 3.3× 1.1k 2.0× 533 1.0× 188 4.7k
Diana N. Ionescu Canada 26 893 1.0× 625 0.9× 304 0.5× 1.1k 2.0× 466 0.9× 78 2.7k

Countries citing papers authored by Sandeep Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Mathur. A scholar is included among the top collaborators of Sandeep Mathur 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 Sandeep Mathur. Sandeep Mathur 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.
Yadav, Rajni, et al.. (2025). Experience of a tertiary care institute on the spectrum of fine-needle aspiration of hepatic nodular lesions from North India. Journal of Cancer Research and Therapeutics. 21(1). 111–117.
2.
Singhal, Seema, et al.. (2024). Patterns of care for vulvar cancer and insights from revised FIGO staging: a retrospective study. World Journal of Surgical Oncology. 22(1). 329–329. 1 indexed citations
3.
Srivastava, Anurag, Rajinder Parshad, Sandeep Mathur, et al.. (2024). Prognostic role of Androgen Receptor splice variant 7 (AR-V7) in the pathogenesis of breast cancer. BMC Cancer. 24(1). 1398–1398. 6 indexed citations
4.
Tomar, Anil Kumar, et al.. (2024). Exploring Molecular Alterations in Breast Cancer Among Indian Women Using Label‐Free Quantitative Serum Proteomics. Biochemistry Research International. 2024(1). 5584607–5584607. 1 indexed citations
5.
Dhar, Anita, Piyush Ranjan, Kamal Kataria, et al.. (2023). A Randomized Comparison of Excision of 3 cm Versus 1.5 cm Length of Major Mammary Duct in Women Presenting with Non-bloody Nipple Discharge. Indian Journal of Surgery. 86(2). 337–343. 1 indexed citations
6.
Gogia, Ajay, et al.. (2022). Oligometastatic breast cancer. Indian Journal of Cancer. 59(2). 257–262.
7.
Kataria, Kamal, Chandrasekhar Bal, Rakesh Kumar, et al.. (2022). Sentinel Node Mapping in Early Breast Cancer. Indian Journal of Nuclear Medicine. 37(3). 236–244. 2 indexed citations
8.
Mallick, Saumyaranjan, Aijaz Ahmad, Sandeep Agarwala, et al.. (2021). Differential expression of miRNA in histological subtype of Wilms tumor. Pediatric Surgery International. 38(2). 257–267. 4 indexed citations
9.
Mathur, Sandeep, et al.. (2020). Prognostic and therapeutic relevance of phosphofructokinase platelet-type (PFKP) in breast cancer. Experimental Cell Research. 396(1). 112282–112282. 29 indexed citations
10.
Kumar, Vikrant, et al.. (2020). Analysis of Multimerin 1 (MMRN1) expression in ovarian cancer. Molecular Biology Reports. 47(12). 9459–9468. 11 indexed citations
11.
Kumar, Rakesh, et al.. (2020). Structural and conformational changes induced by missense variants in the zinc finger domains of GATA3 involved in breast cancer. RSC Advances. 10(65). 39640–39653. 7 indexed citations
12.
Gogia, Ajay, S. V. S. Deo, Dayanand Sharma, et al.. (2019). Discordance in Biomarker Expression in Breast Cancer After Metastasis: Single Center Experience in India. Journal of Global Oncology. 5(5). 1–8. 7 indexed citations
13.
Kakkar, Aanchal, et al.. (2019). Epithelial‐myoepithelial carcinoma of the breast: A rare type of malignant adenomyoepithelioma. The Breast Journal. 25(6). 1273–1275. 12 indexed citations
14.
Gogia, Ajay, et al.. (2018). Clinicopathological profile of breast cancer: An institutional experience. Indian Journal of Cancer. 55(3). 210–210. 21 indexed citations
15.
Sharma, Uma, Rani Gupta Sah, Rajinder Parshad, et al.. (2018). Can Multi-Parametric MR Based Approach Improve the Predictive Value of Pathological and Clinical Therapeutic Response in Breast Cancer Patients?. Frontiers in Oncology. 8. 319–319. 12 indexed citations
16.
Ramakrishnan, Mallika, Sandeep Mathur, & Asok Mukhopadhyay. (2013). Fusion-Derived Epithelial Cancer Cells Express Hematopoietic Markers and Contribute to Stem Cell and Migratory Phenotype in Ovarian Carcinoma. Cancer Research. 73(17). 5360–5370. 64 indexed citations
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Dutta, Roman, Pramod Kumar Julka, Sandeep Mathur, et al.. (2010). Thymic neuroendocrine tumour (carcinoid): clinicopathological features of four patients with different presentation. Interactive Cardiovascular and Thoracic Surgery. 11(6). 732–736. 21 indexed citations
20.
Arora, Vinod, et al.. (2009). Pleural mesothelioma: An unusual case diagnosed on pleural fluid cytology and immunocytochemistry. Diagnostic Cytopathology. 37(7). 509–512. 1 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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