Michael Parappilly

486 total citations
9 papers, 43 citations indexed

About

Michael Parappilly is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Michael Parappilly has authored 9 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Michael Parappilly's work include Pancreatic and Hepatic Oncology Research (4 papers), Cancer Cells and Metastasis (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Michael Parappilly is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Cancer Cells and Metastasis (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Michael Parappilly collaborates with scholars based in United States and Thailand. Michael Parappilly's co-authors include Melissa H. Wong, Thomas L. Sutton, Ian Williamson, Scott T. Magness, Paige S. Davies, John Swain, Nicholas R. Smith, Philip R. Streeter, Jerry J. Jaboin and Shay Behrens and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and The American Journal of Surgery.

In The Last Decade

Michael Parappilly

7 papers receiving 43 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Parappilly United States 4 26 12 11 9 6 9 43
Kristin Thorisdottir United States 4 37 1.4× 16 1.3× 10 0.9× 7 0.8× 7 1.2× 5 75
Katayoon Kasaian Canada 2 25 1.0× 29 2.4× 16 1.5× 7 0.8× 5 0.8× 2 70
Klara Dorman Germany 5 33 1.3× 16 1.3× 13 1.2× 8 0.9× 10 1.7× 15 57
Michelle L. Tas Netherlands 4 16 0.6× 25 2.1× 24 2.2× 9 1.0× 10 1.7× 4 78
Kyla Foster United States 5 32 1.2× 41 3.4× 14 1.3× 8 0.9× 9 1.5× 7 86
Eva Sum Germany 3 34 1.3× 11 0.9× 6 0.5× 24 2.7× 3 0.5× 7 59
Tina Giese United States 3 24 0.9× 42 3.5× 10 0.9× 6 0.7× 4 0.7× 6 56
Sireesha Yalavarthi United States 3 29 1.1× 32 2.7× 10 0.9× 7 0.8× 3 0.5× 9 56
Rebecca A. DeStefanis United States 4 29 1.1× 15 1.3× 11 1.0× 5 0.6× 5 0.8× 6 44
Alissa Greenwald United States 2 6 0.2× 17 1.4× 11 1.0× 8 0.9× 2 0.3× 3 46

Countries citing papers authored by Michael Parappilly

Since Specialization
Citations

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

Fields of papers citing papers by Michael Parappilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Parappilly

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

All Works

9 of 9 papers shown
1.
Parappilly, Michael, Shibru Tedla, Ratipark Tamornpark, et al.. (2025). Knowledge acquisition and retention when implementing public health awareness training on common pediatric eye conditions in Thailand. Global Health Journal. 9(1). 27–36.
2.
Parappilly, Michael, Brett S. Walker, Alice Fung, et al.. (2024). Exploratory Analyses of Circulating Neoplastic-Immune Hybrid Cells as Prognostic Biomarkers in Advanced Intrahepatic Cholangiocarcinoma. International Journal of Molecular Sciences. 25(17). 9198–9198. 1 indexed citations
3.
Parappilly, Michael, Emile Latour, Lei Wang, et al.. (2024). Circulating Neoplastic-Immune Hybrid Cells Are Biomarkers of Occult Metastasis and Treatment Response in Pancreatic Cancer. Cancers. 16(21). 3650–3650.
4.
Parappilly, Michael, et al.. (2023). The Hallmarks of Circulating Hybrid Cells. Results and problems in cell differentiation. 71. 467–485. 1 indexed citations
5.
Parappilly, Michael, Thomas L. Sutton, Shay Behrens, et al.. (2023). Referral and treatment patterns in pancreatic acinar cell carcinoma: A regional population-level analysis. The American Journal of Surgery. 231. 55–59. 4 indexed citations
6.
Parappilly, Michael, Thomas L. Sutton, Summer L. Gibbs, et al.. (2022). Circulating Neoplastic-Immune Hybrid Cells Predict Metastatic Progression in Uveal Melanoma. Cancers. 14(19). 4617–4617. 13 indexed citations
7.
Barajas, Ramon, Michael Parappilly, Lissa Baird, et al.. (2020). Measure Twice: Promise of Liquid Biopsy in Pediatric High-Grade Gliomas. Advances in Radiation Oncology. 5(2). 152–162. 7 indexed citations
8.
Walker, Brett S., Michael Parappilly, Jared M. Fischer, et al.. (2020). Abstract PO-014: Harnessing the heterogeneity of circulating hybrid cells in pancreatic adenocarcinoma. Cancer Research. 80(21_Supplement). PO–14. 1 indexed citations
9.
Smith, Nicholas R., John Swain, Paige S. Davies, et al.. (2018). Monoclonal Antibodies Reveal Dynamic Plasticity Between Lgr5- and Bmi1-Expressing Intestinal Cell Populations. Cellular and Molecular Gastroenterology and Hepatology. 6(1). 79–96. 16 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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