Trafina Jadhav

483 total citations
8 papers, 124 citations indexed

About

Trafina Jadhav is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Trafina Jadhav has authored 8 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Trafina Jadhav's work include Cancer-related Molecular Pathways (4 papers), Genetic factors in colorectal cancer (4 papers) and Ubiquitin and proteasome pathways (3 papers). Trafina Jadhav is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Genetic factors in colorectal cancer (4 papers) and Ubiquitin and proteasome pathways (3 papers). Trafina Jadhav collaborates with scholars based in United States and India. Trafina Jadhav's co-authors include Marie W. Wooten, Jianxiong Jiang, Thangiah Geetha, Michael C. Wooten, Upender Manne, Chandrakumar Shanmugam, Temesgen Samuel, Esther A. Suswam, Shivani Soni and Han Yu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and BMC Cancer.

In The Last Decade

Trafina Jadhav

8 papers receiving 123 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trafina Jadhav United States	6	79	45	24	18	17	8	124
Fanying Tang United States	4	73 0.9×	36 0.8×	22 0.9×	13 0.7×	9 0.5×	5	107
Subbaiah Chary Nimmagadda Germany	9	120 1.5×	40 0.9×	22 0.9×	5 0.3×	9 0.5×	13	172
Taiki Tsutsui Japan	6	162 2.1×	43 1.0×	29 1.2×	14 0.8×	7 0.4×	7	232
Duygu Ozmadenci United States	4	75 0.9×	52 1.2×	27 1.1×	6 0.3×	9 0.5×	7	152
Jacob V. Layer United States	7	100 1.3×	40 0.9×	16 0.7×	22 1.2×	15 0.9×	11	176
Alexandra Just Germany	2	90 1.1×	61 1.4×	36 1.5×	5 0.3×	12 0.7×	4	170
Pasquelena De Nittis Italy	5	88 1.1×	28 0.6×	20 0.8×	24 1.3×	13 0.8×	7	135
Claire Guérillon Denmark	8	227 2.9×	64 1.4×	39 1.6×	5 0.3×	14 0.8×	9	248
Zhong‐yi Qin China	6	166 2.1×	36 0.8×	84 3.5×	14 0.8×	21 1.2×	9	211
E.M.S.F. Ribeiro Brazil	7	90 1.1×	44 1.0×	39 1.6×	10 0.6×	7 0.4×	12	145

Countries citing papers authored by Trafina Jadhav

Since Specialization

Citations

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

Fields of papers citing papers by Trafina Jadhav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trafina Jadhav

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

All Works

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8 of 8 papers shown

1.

Hébert‐Magee, Shantel, Han Yu, Michael Behring, et al.. (2019). The combined survival effect of codon 72 polymorphisms and p53 somatic mutations in breast cancer depends on race and molecular subtype. PLoS ONE. 14(2). e0211734–e0211734. 8 indexed citations

2.

Govindarajan, Rangaswamy, James Posey, Calvin Chao, et al.. (2016). A comparison of 12-gene colon cancer assay gene expression in African American and Caucasian patients with stage II colon cancer. BMC Cancer. 16(1). 368–368. 12 indexed citations

3.

Manne, Upender, Trafina Jadhav, Temesgen Samuel, et al.. (2016). Molecular Biomarkers of Colorectal Cancer and Cancer Disparities: Current Status and Perspective. Current Colorectal Cancer Reports. 12(6). 332–344. 19 indexed citations

4.

Xu, Jia, Venkat R. Katkoori, Chandrakumar Shanmugam, et al.. (2015). Clinical Implications of Rabphillin-3A-Like Gene Alterations in Breast Cancer. PLoS ONE. 10(6). e0129216–e0129216. 5 indexed citations

5.

Jadhav, Trafina, Marie W. Wooten, & Michael C. Wooten. (2011). Mining the TRAF6/p62 interactome for a selective ubiquitination motif. BMC Proceedings. 5(S2). S4–S4. 17 indexed citations

6.

Ashraf, Mohammad Javad, et al.. (2011). BRCA1 protein expression and its correlation with ER/PR status in sporadic and familial breast cancer in Eastern Indian patients--a hospital based study.. PubMed. 109(12). 873–8. 2 indexed citations

7.

Jadhav, Trafina & Marie W. Wooten. (2009). Defining an Embedded Code for Protein Ubiquitination. Journal of Proteomics & Bioinformatics. 2(7). 316–333. 31 indexed citations

8.

Jadhav, Trafina, Thangiah Geetha, Jianxiong Jiang, & Marie W. Wooten. (2008). Identification of a consensus site for TRAF6/p62 polyubiquitination. Biochemical and Biophysical Research Communications. 371(3). 521–524. 30 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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