Preethi Srinivasan

6.6k total citations
14 papers, 330 citations indexed

About

Preethi Srinivasan is a scholar working on Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Preethi Srinivasan has authored 14 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 5 papers in Pathology and Forensic Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Preethi Srinivasan's work include Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (5 papers) and Sarcoma Diagnosis and Treatment (3 papers). Preethi Srinivasan is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (5 papers) and Sarcoma Diagnosis and Treatment (3 papers). Preethi Srinivasan collaborates with scholars based in United States, France and India. Preethi Srinivasan's co-authors include Steve K. Kotsopoulos, Deniz Pekin, Valérie Taly, Xinyu Li, J. Brian Hutchison, Jeff Olson, Pierre Laurent‐Puig, Darren R. Link, Chaitanya Bandlamudi and Barry S. Taylor and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Preethi Srinivasan

13 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Preethi Srinivasan United States	7	160	139	103	98	90	14	330
Kapil Kumar India	10	79 0.5×	121 0.9×	54 0.5×	55 0.6×	69 0.8×	33	275
Laura Matteucci Italy	6	78 0.5×	141 1.0×	69 0.7×	58 0.6×	38 0.4×	15	272
Emmanuelle Lappartient France	5	152 0.9×	104 0.7×	86 0.8×	59 0.6×	63 0.7×	6	303
Sidrah Shah United Kingdom	9	102 0.6×	168 1.2×	128 1.2×	50 0.5×	97 1.1×	11	371
J.-M. Nogaret Belgium	8	142 0.9×	189 1.4×	36 0.3×	48 0.5×	29 0.3×	17	322
Natalia Krawczyk Germany	9	146 0.9×	105 0.8×	31 0.3×	90 0.9×	45 0.5×	38	299
Marit Valla Norway	10	103 0.6×	103 0.7×	106 1.0×	36 0.4×	56 0.6×	23	307
Irene Papaspyrou Greece	9	65 0.4×	106 0.8×	96 0.9×	16 0.2×	50 0.6×	13	262
Jeffrey Catalano United States	7	164 1.0×	158 1.1×	28 0.3×	182 1.9×	101 1.1×	10	364
Angela Chan Canada	10	78 0.5×	195 1.4×	72 0.7×	29 0.3×	93 1.0×	26	355

Countries citing papers authored by Preethi Srinivasan

Since Specialization

Citations

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

Fields of papers citing papers by Preethi Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preethi Srinivasan

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

All Works

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14 of 14 papers shown

Shen, John Paul, Johannes G. Reiter, Joshua Babiarz, et al.. (2025). Development of a methylation-based, tissue-agnostic test for the detection of molecular residual disease by circulating tumor DNA.. Journal of Clinical Oncology. 43(4_suppl). 266–266. 1 indexed citations

Shen, John Paul, Johannes G. Reiter, Joshua Babiarz, et al.. (2025). Development of a methylation-based, tissue-free test for the detection of molecular residual disease by circulating tumor DNA.. Journal of Clinical Oncology. 43(16_suppl). 3048–3048. 1 indexed citations

Srinivasan, Preethi, et al.. (2022). Multi Modality Medical Image Translation for Dicom Brain Images. 168–173.

Hensley, Martee L., Shweta S. Chavan, David B. Solit, et al.. (2020). Genomic Landscape of Uterine Sarcomas Defined Through Prospective Clinical Sequencing. Clinical Cancer Research. 26(14). 3881–3888. 67 indexed citations

Franch‐Expósito, Sebastià, Preethi Srinivasan, Ryan Ptashkin, et al.. (2020). Germline Contributions to Clonal Hematopoiesis in Solid Cancer Patients. Blood. 136(Supplement 1). 30–31. 1 indexed citations

Latham, Alicia, Diane Reidy‐Lagunes, Neil H. Segal, et al.. (2019). Characterization and clinical outcomes of mismatch repair deficient (dMMR) small bowel adenocarcinoma (SBA).. Journal of Clinical Oncology. 37(15_suppl). 1511–1511. 2 indexed citations

Wong, Winston, Maeve A. Lowery, Michael F. Berger, et al.. (2019). Ampullary cancer: Evaluation of somatic and germline genetic alterations and association with clinical outcomes. Cancer. 125(9). 1441–1448. 23 indexed citations

Srinivasan, Preethi, Yelena Kemel, Jinru Shia, et al.. (2018). Pan-cancer microsatellite instability to predict for presence of Lynch syndrome.. Journal of Clinical Oncology. 36(18_suppl). LBA1509–LBA1509. 10 indexed citations

Srinivasan, Preethi, Christina Tran, Jonathan Reichel, et al.. (2018). Abstract 3656: Detecting MSI in plasma: Implications for early detection of lynch associated tumors. Cancer Research. 78(13_Supplement). 3656–3656. 2 indexed citations

10.

Srinivasan, Preethi, et al.. (2017). Autonomous UAV forced graffiti detection and removal system based on machine learning. 1–8. 8 indexed citations

11.

Laurent‐Puig, Pierre, Deniz Pekin, Corinne Normand, et al.. (2014). Clinical Relevance of KRAS -Mutated Subclones Detected with Picodroplet Digital PCR in Advanced Colorectal Cancer Treated with Anti-EGFR Therapy. Clinical Cancer Research. 21(5). 1087–1097. 118 indexed citations

12.

Taly, Valérie, Pierre Laurent‐Puig, Deniz Pekin, et al.. (2014). Abstract 2820: Clinical significance of low frequency KRAS and BRAF subclones for advanced colon cancer management. Cancer Research. 74(19_Supplement). 2820–2820. 1 indexed citations

13.

Didelot, Audrey, Steve K. Kotsopoulos, Audrey Lupo, et al.. (2013). Multiplex Picoliter-Droplet Digital PCR for Quantitative Assessment of DNA Integrity in Clinical Samples. Clinical Chemistry. 59(5). 815–823. 86 indexed citations

14.

Srinivasan, Preethi, M. Brandon Westover, & Matt T. Bianchi. (2012). Propagation of Uncertainty in Bayesian Diagnostic Test Interpretation. Southern Medical Journal. 105(9). 452–459. 10 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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