Chithra Sangli

1.0k total citations
21 papers, 720 citations indexed

About

Chithra Sangli is a scholar working on Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chithra Sangli has authored 21 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 8 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chithra Sangli's work include Cancer Genomics and Diagnostics (9 papers), Molecular Biology Techniques and Applications (6 papers) and Cardiac Valve Diseases and Treatments (4 papers). Chithra Sangli is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Molecular Biology Techniques and Applications (6 papers) and Cardiac Valve Diseases and Treatments (4 papers). Chithra Sangli collaborates with scholars based in United States, Japan and Sweden. Chithra Sangli's co-authors include Kim M. Clark-Langone, Drew Watson, Maureen Cronin, Anh Nguyen, Jenny Wu, Mylan Pho, Debjani Dutta, Jennie Jeong, Mei‐Lan Liu and Paul Grayburn and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Chithra Sangli

15 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chithra Sangli United States 8 255 230 215 194 124 21 720
Pier Vitale Nuzzo United States 16 104 0.4× 298 1.3× 389 1.8× 382 2.0× 109 0.9× 58 943
Franziska Büscheck Germany 15 58 0.2× 92 0.4× 98 0.5× 168 0.9× 97 0.8× 38 574
R. Knight United Kingdom 15 76 0.3× 275 1.2× 367 1.7× 66 0.3× 73 0.6× 32 642
M.L. Carcangiu Italy 15 31 0.1× 439 1.9× 390 1.8× 248 1.3× 143 1.2× 31 1.1k
Roman Groisberg United States 14 57 0.2× 167 0.7× 442 2.1× 191 1.0× 59 0.5× 50 742
Takeshi Hirasawa Japan 15 30 0.1× 143 0.6× 118 0.5× 187 1.0× 96 0.8× 63 581
David H. Hwang United States 12 44 0.2× 96 0.4× 128 0.6× 174 0.9× 67 0.5× 21 480
Raimundas Meškauskas Lithuania 10 55 0.2× 107 0.5× 126 0.6× 81 0.4× 65 0.5× 23 370
Cheng‐Bo Han China 17 39 0.2× 190 0.8× 381 1.8× 270 1.4× 59 0.5× 76 864
Monica Lencioni Italy 16 27 0.1× 117 0.5× 446 2.1× 140 0.7× 200 1.6× 51 791

Countries citing papers authored by Chithra Sangli

Since Specialization
Citations

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

Fields of papers citing papers by Chithra Sangli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chithra Sangli

This figure shows the co-authorship network connecting the top 25 collaborators of Chithra Sangli. A scholar is included among the top collaborators of Chithra Sangli 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 Chithra Sangli. Chithra Sangli 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
5.
Nakamura, Yoshiaki, Kristiyana Kaneva, Christine Lo, et al.. (2024). Longitudinal clinical performance of a novel tumor-naive minimal residual disease assay in patients with resected stage II and III colorectal cancer: A subset analysis from the GALAXY study in CIRCULATE-Japan.. Journal of Clinical Oncology. 42(16_suppl). 3618–3618. 2 indexed citations
7.
Moxley, Katherine, Martin Bontrager, Samantha A. Whitman, et al.. (2024). Abstract 5148: Analysis of HER2 prevalence by RNA expression across solid tumors. Cancer Research. 84(6_Supplement). 5148–5148.
8.
Stein, Michelle M., Kristiyana Kaneva, Seung Won Hyun, et al.. (2024). Abstract 3676: A circulating tumor fraction DNA biomarker response stratified by ESR1 mutation status correlates with overall survival in patients with HR+ HER2- metastatic breast cancer. Cancer Research. 84(6_Supplement). 3676–3676. 1 indexed citations
9.
Aggarwal, Charu, Yinjie Gao, Seung Won Hyun, et al.. (2023). Assessment of Tumor Mutational Burden and Outcomes in Patients With Diverse Advanced Cancers Treated With Immunotherapy. JAMA Network Open. 6(5). e2311181–e2311181. 69 indexed citations
10.
Reddy, Vivek Y., Scott J. Pollak, Bruce D. Lindsay, et al.. (2016). Relationship Between Catheter Stability and 12-Month Success After Pulmonary Vein Isolation. JACC. Clinical electrophysiology. 2(6). 691–699. 44 indexed citations
11.
Velazquez, Eric J., Zainab Samad, Hussein R. Al‐Khalidi, et al.. (2015). The MitraClip and survival in patients with mitral regurgitation at high risk for surgery: A propensity-matched comparison. American Heart Journal. 170(5). 1050–1059.e3. 58 indexed citations
12.
Wang, Andrew, Chithra Sangli, Scott Lim, et al.. (2015). Evaluation of Renal Function Before and After Percutaneous Mitral Valve Repair. Circulation Cardiovascular Interventions. 8(1). 33 indexed citations
13.
Grayburn, Paul, Elyse Foster, Chithra Sangli, et al.. (2013). Relationship Between the Magnitude of Reduction in Mitral Regurgitation Severity and Left Ventricular and Left Atrial Reverse Remodeling After MitraClip Therapy. Circulation. 128(15). 1667–1674. 118 indexed citations
14.
Velazquez, Eric J., Chithra Sangli, Hussein R. Al‐Khalidi, et al.. (2012). SURVIVAL IN PATIENTS WITH MODERATE OR SEVERE MITRAL REGURGITATION AT HIGH RISK FOR SURGERY TREATED WITH AND WITHOUT THE MITRACLIP: A PROPENSITY MATCHED COMPARISON. Journal of the American College of Cardiology. 59(13). E1997–E1997. 1 indexed citations
15.
Liu, Mei‐Lan, Jennie Jeong, Carl Millward, et al.. (2011). RT-PCR Gene Expression Profiling of RNA from Paraffin-Embedded Tissues Prepared Using a Range of Different Fixatives and Conditions. Methods in molecular biology. 724. 205–237. 6 indexed citations
16.
17.
Sangli, Chithra, et al.. (2009). Quantitative gene expression analysis using Oncotype DX in ductal carcinoma in situ that is adjacent to invasive ductal carcinoma.. Cancer Research. 69(2_Supplement). 2066–2066. 2 indexed citations
18.
Anderson, Joseph, Carl Millward, Chithra Sangli, et al.. (2009). The critical role of surgical pathology in personalized medicine: The impact of biopsy cavities in breast cancer samples on recurrence risk when assessed by quantitative RT-PCR. Journal of Clinical Oncology. 27(15_suppl). e22016–e22016. 1 indexed citations
19.
Cronin, Maureen, Chithra Sangli, Mei‐Lan Liu, et al.. (2007). Analytical Validation of the Oncotype DX Genomic Diagnostic Test for Recurrence Prognosis and Therapeutic Response Prediction in Node-Negative, Estrogen Receptor–Positive Breast Cancer. Clinical Chemistry. 53(6). 1084–1091. 264 indexed citations
20.
Clark-Langone, Kim M., Jenny Wu, Chithra Sangli, et al.. (2007). Biomarker discovery for colon cancer using a 761 gene RT-PCR assay. BMC Genomics. 8(1). 279–279. 42 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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