Trupti Trivedi

559 total citations
19 papers, 435 citations indexed

About

Trupti Trivedi is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Trupti Trivedi has authored 19 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Trupti Trivedi's work include Bone health and treatments (3 papers), Genetic factors in colorectal cancer (3 papers) and Immunotherapy and Immune Responses (3 papers). Trupti Trivedi is often cited by papers focused on Bone health and treatments (3 papers), Genetic factors in colorectal cancer (3 papers) and Immunotherapy and Immune Responses (3 papers). Trupti Trivedi collaborates with scholars based in India, United States and Australia. Trupti Trivedi's co-authors include Nandita Ghosh, Devendra D. Patel, Neelam G. Shah, Hemangini H. Vora, Priya R. Chikhlikar, Jyotsna M. Bhatavdekar, Theresa A. Guise, Tejal P. Suthar, Khalid S. Mohammad and Gabriel M. Pagnotti and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Bone and Mineral Research.

In The Last Decade

Trupti Trivedi

18 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trupti Trivedi India 10 245 169 90 67 61 19 435
Y. X. Ding China 10 183 0.7× 88 0.5× 130 1.4× 34 0.5× 37 0.6× 20 374
Colette Fong-Yee Australia 9 144 0.6× 118 0.7× 75 0.8× 42 0.6× 39 0.6× 12 344
Tomoko Minamizaki Japan 11 155 0.6× 339 2.0× 94 1.0× 59 0.9× 29 0.5× 22 702
Lucie Coppin France 14 140 0.6× 177 1.0× 43 0.5× 70 1.0× 55 0.9× 25 421
Jurriaan Brouwer‐Visser United States 12 170 0.7× 239 1.4× 85 0.9× 121 1.8× 66 1.1× 46 495
Mee‐Hye Oh South Korea 13 154 0.6× 222 1.3× 77 0.9× 82 1.2× 26 0.4× 44 491
Arshad A. Pandith India 14 114 0.5× 323 1.9× 47 0.5× 139 2.1× 77 1.3× 68 604
Ting Long China 12 96 0.4× 221 1.3× 27 0.3× 92 1.4× 39 0.6× 28 454
Zhen‐Kui Sun China 15 111 0.5× 150 0.9× 51 0.6× 105 1.6× 201 3.3× 38 525
H Chapuis France 11 127 0.5× 251 1.5× 31 0.3× 79 1.2× 68 1.1× 25 528

Countries citing papers authored by Trupti Trivedi

Since Specialization
Citations

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

Fields of papers citing papers by Trupti Trivedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trupti Trivedi

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

All Works

19 of 19 papers shown
1.
Trivedi, Trupti, Gabriel M. Pagnotti, Theresa A. Guise, & Khalid S. Mohammad. (2021). The Role of TGF-β in Bone Metastases. Biomolecules. 11(11). 1643–1643. 52 indexed citations
2.
Vora, Hemangini H., et al.. (2021). Nonhomologous end joining repair pathway molecules as predictive biomarkers for patients with oral squamous cell carcinoma. Journal of Cancer Research and Therapeutics. 17(4). 1031–1038. 8 indexed citations
3.
Wang, Ruizhong, Brijesh Kumar, Poornima Bhat‐Nakshatri, et al.. (2020). Aging‐associated skeletal muscle defects in HER2/Neu transgenic mammary tumour model. SHILAP Revista de lepidopterología. 4(1). 24–39. 6 indexed citations
4.
Regan, Jenna N., Trupti Trivedi, Theresa A. Guise, & David L. Waning. (2017). The Role of TGFβ in Bone-Muscle Crosstalk. Current Osteoporosis Reports. 15(1). 18–23. 25 indexed citations
5.
Hong, David S., Marcus O. Butler, Ryan J. Sullivan, et al.. (2017). A phase I single arm, open label clinical trial evaluating safety of MAGE-A10c796T in subjects with advanced or metastatic head and neck, melanoma, or urothelial tumors (NCT02989064).. Journal of Clinical Oncology. 35(15_suppl). TPS3098–TPS3098. 3 indexed citations
6.
Vora, Hemangini H., et al.. (2017). Mediator of DNA damage checkpoint protein 1 (MDC1) as a prognostic marker for patients with oral squamous cell carcinoma. Journal of Oral Pathology and Medicine. 46(4). 253–258. 9 indexed citations
7.
Trivedi, Trupti, et al.. (2016). Role of Interleukin-18 in Thyroid tumorigenesis. 4(4). 1 indexed citations
8.
Trivedi, Trupti, et al.. (2016). Significance of TNF-αand the Adhesion Molecules: L-Selectin and VCAM-1 in Papillary Thyroid Carcinoma. Journal of Thyroid Research. 2016. 1–17. 23 indexed citations
9.
Trivedi, Trupti, et al.. (2016). Significance of Interleukin-6 in Papillary Thyroid Carcinoma. Journal of Thyroid Research. 2016. 1–12. 33 indexed citations
10.
Vora, Hemangini H., et al.. (2016). Nibrin expression in oral squamous cell carcinoma: association with clinicopathological parameters. Journal of Cancer Metastasis and Treatment. 2(11). 436–436. 7 indexed citations
11.
Zheng, Yu, Sarah Kim, Colette Fong-Yee, et al.. (2014). Direct Crosstalk Between Cancer and Osteoblast Lineage Cells Fuels Metastatic Growth in Bone via Auto-Amplification of IL-6 and RANKL Signaling Pathways. Journal of Bone and Mineral Research. 29(9). 1938–1949. 33 indexed citations
12.
Vora, Hemangini H., et al.. (2003). BRCA1 expression in leukoplakia and carcinoma of the tongue. Journal of Surgical Oncology. 83(4). 232–240. 8 indexed citations
13.
Shah, N.G., et al.. (2002). Telomerase Activity in Breast Cancer in Western India (Gujarat). The International Journal of Biological Markers. 17(1). 49–55. 4 indexed citations
14.
Shah, N.G., et al.. (2002). Telomerase activity in breast cancer in Western India (Gujarat). The International Journal of Biological Markers. 17(1). 49–55. 3 indexed citations
15.
Patel, Devendra D., Priya R. Chikhlikar, Neelam G. Shah, et al.. (2001). Ectopic production of prolactin by colorectal adenocarcinoma. Diseases of the Colon & Rectum. 44(1). 119–127. 31 indexed citations
16.
Bhatavdekar, Jyotsna M., Devendra D. Patel, Priya R. Chikhlikar, et al.. (2001). Molecular markers are predictors of recurrence and survival in patients with Dukes B and Dukes C colorectal adenocarcinoma. Diseases of the Colon & Rectum. 44(4). 523–533. 49 indexed citations
17.
Bhatavdekar, Jyotsna M., Devendra D. Patel, Neelam G. Shah, et al.. (2000). Prognostic Significance of Immunohistochemically Localized Biomarkers in Stage II and Stage III Breast Cancer: A Multivariate Analysis. Annals of Surgical Oncology. 7(4). 305–311. 49 indexed citations
18.
Bhatavdekar, Jyotsna M., Devendra D. Patel, Priya R. Chikhlikar, et al.. (1998). Overexpression of CD44: A useful independent predictor of prognosis in patients with colorectal carcinomas. Annals of Surgical Oncology. 5(6). 495–501. 28 indexed citations
19.
Bhatavdekar, Jyotsna M., Devendra D. Patel, Nandita Ghosh, et al.. (1997). Coexpression of Bcl-2, c-Myc, and p53 oncoproteins as prognostic discriminants in patients with colorectal carcinoma. Diseases of the Colon & Rectum. 40(7). 785–790. 63 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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