Anupama Mane

497 total citations
21 papers, 378 citations indexed

About

Anupama Mane is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Anupama Mane has authored 21 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 10 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Anupama Mane's work include Metabolomics and Mass Spectrometry Studies (6 papers), Breast Cancer Treatment Studies (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Anupama Mane is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Breast Cancer Treatment Studies (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Anupama Mane collaborates with scholars based in India, Canada and Spain. Anupama Mane's co-authors include Gopal C. Kundu, D Thorat, Swapnil Karnik, Kirti Lohite, Srikanth Rapole, Koel Chaudhury, Manas Kumar Santra, Sourav RoyChoudhury, Gowrishankar Soundararajan and Khushman Taunk and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Oncogene.

In The Last Decade

Anupama Mane

19 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anupama Mane India	9	217	130	109	66	60	21	378
Hideaki Iwaki Japan	8	180 0.8×	63 0.5×	68 0.6×	80 1.2×	31 0.5×	22	407
Mar Haz‐Conde Spain	12	391 1.8×	289 2.2×	126 1.2×	22 0.3×	27 0.5×	14	519
Frank Leon United States	7	299 1.4×	83 0.6×	151 1.4×	33 0.5×	19 0.3×	8	420
Katarzyna Said Hilmersson Sweden	11	152 0.7×	85 0.7×	194 1.8×	22 0.3×	16 0.3×	15	339
Richard D. Sowery Canada	10	285 1.3×	112 0.9×	143 1.3×	15 0.2×	17 0.3×	15	501
Lihong Yin United States	11	259 1.2×	81 0.6×	126 1.2×	9 0.1×	19 0.3×	17	405
Olena Masui Canada	11	388 1.8×	206 1.6×	85 0.8×	86 1.3×	10 0.2×	12	576
Tobias Götze Germany	7	163 0.8×	42 0.3×	86 0.8×	19 0.3×	33 0.6×	10	302
Jayde E. Ruelcke Australia	8	288 1.3×	146 1.1×	39 0.4×	27 0.4×	18 0.3×	9	371

Countries citing papers authored by Anupama Mane

Since Specialization

Citations

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

Fields of papers citing papers by Anupama Mane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupama Mane

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

Nag, Shona, et al.. (2024). Efficacy and Satisfaction among HER2 Positive Breast Cancer Patients Undergoing Subcutaneous Injection of PHESGO along with Chemotherapy: A Case Series. 7(1). 137–142. 1 indexed citations

Nag, Shona, Rajesh Dikshit, Sangeeta Desai, et al.. (2023). Risk factors for the development of triple-negative breast cancer versus non-triple-negative breast cancer: a case–control study. Scientific Reports. 13(1). 13551–13551. 5 indexed citations

Mane, Anupama, et al.. (2023). Postmastectomy Immediate Implant-Based Breast Reconstruction with Scarless Latissimus Dorsi Flap—a Simple and Versatile Technique. Indian Journal of Surgical Oncology. 14(3). 589–594.

Butti, Ramesh, Gautam Kundu, Anuradha Bulbule, et al.. (2021). Tumor-derived osteopontin drives the resident fibroblast to myofibroblast differentiation through Twist1 to promote breast cancer progression. Oncogene. 40(11). 2002–2017. 62 indexed citations

More, Tushar H., et al.. (2020). Lipidomics investigations into the tissue phospholipidomic landscape of invasive ductal carcinoma of the breast. RSC Advances. 11(1). 397–407. 5 indexed citations

Mane, Anupama, et al.. (2020). Cancer care in a Western Indian tertiary center during the pandemic: Surgeon's perspective. Journal of Surgical Oncology. 122(8). 1525–1533. 5 indexed citations

More, Tushar H., et al.. (2018). Investigation of altered urinary metabolomic profiles of invasive ductal carcinoma of breast using targeted and untargeted approaches. Metabolomics. 14(8). 107–107. 2 indexed citations

Gajbhiye, Akshada, Khushman Taunk, Mashanipalya G. Jagadeeshaprasad, et al.. (2017). Multipronged quantitative proteomics reveals serum proteome alterations in breast cancer intrinsic subtypes. Journal of Proteomics. 163. 1–13. 18 indexed citations

More, Tushar H., Sourav RoyChoudhury, Khushman Taunk, et al.. (2017). Metabolomic alterations in invasive ductal carcinoma of breast: A comprehensive metabolomic study using tissue and serum samples. Oncotarget. 9(2). 2678–2696. 44 indexed citations

10.

Gajbhiye, Akshada, Khushman Taunk, Vannuruswamy Garikapati, et al.. (2016). Urinary proteome alterations in HER2 enriched breast cancer revealed by multipronged quantitative proteomics. PROTEOMICS. 16(17). 2403–2418. 41 indexed citations

11.

More, Tushar H., Muralidhararao Bagadi, Sourav RoyChoudhury, et al.. (2016). Comprehensive quantitative lipidomic approach to investigate serum phospholipid alterations in breast cancer. Metabolomics. 13(1). 11 indexed citations

12.

Mane, Anupama, et al.. (2016). Abstract P2-12-13: Modified pectoral nerves block for postoperative analgesia after modified radical mastectomy: A comparative study. Cancer Research. 76(4_Supplement). P2–12. 2 indexed citations

13.

Gajbhiye, Akshada, Khushman Taunk, Sourav RoyChoudhury, et al.. (2015). Quantitative tissue proteomic investigation of invasive ductal carcinoma of breast with luminal B HER2 positive and HER2 enriched subtypes towards potential diagnostic and therapeutic biomarkers. Journal of Proteomics. 132. 112–130. 29 indexed citations

14.

Mane, Anupama. (2015). A Comparison of Clinical Features, Pathology and Outcomes in Various Subtypes of Breast Cancer in Indian Women. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 9(9). PC01–4. 12 indexed citations

15.

Nag, Shona, et al.. (2015). Breast cancer survivorship in urban India.. Journal of Clinical Oncology. 33(28_suppl). 108–108. 1 indexed citations

16.

Nag, Shona, Anupama Mane, & Sudeep Gupta. (2014). Emerging Prognostic and Predictive Biomarkers for Triple Negative Breast Cancer. Current Breast Cancer Reports. 6(4). 275–282. 1 indexed citations

17.

Raja, Remya, Smita Kale, D Thorat, et al.. (2013). Hypoxia-driven osteopontin contributes to breast tumor growth through modulation of HIF1α-mediated VEGF-dependent angiogenesis. Oncogene. 33(16). 2053–2064. 109 indexed citations

18.

Thorat, D, Reeti Behera, Kirti Lohite, et al.. (2013). Association of osteopontin and cyclooxygenase-2 expression with breast cancer subtypes and their use as potential biomarkers. Oncology Letters. 6(6). 1559–1564. 27 indexed citations

19.

Deshmukh, Sanjay, et al.. (2012). Papillary Carcinoma of the Breast- Case Reports and Review of Literature Regarding Management Guidelines. Indian Journal of Surgery. 74(6). 510–512.

20.

Deshmukh, Sanjay, et al.. (2012). Breast Cancer in Young Women in India. Annals of Oncology. 23. ix101–ix101. 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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