Jomol Mathew

1.9k total citations
24 papers, 692 citations indexed

About

Jomol Mathew is a scholar working on Surgery, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jomol Mathew has authored 24 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Jomol Mathew's work include Healthcare Policy and Management (3 papers), Blockchain Technology Applications and Security (3 papers) and IoT and Edge/Fog Computing (3 papers). Jomol Mathew is often cited by papers focused on Healthcare Policy and Management (3 papers), Blockchain Technology Applications and Security (3 papers) and IoT and Edge/Fog Computing (3 papers). Jomol Mathew collaborates with scholars based in United States, Nigeria and Italy. Jomol Mathew's co-authors include Peilong Li, Yan Luo, Hao Jin, Mollie Ullman-Culleré, Judith D. Goldberg, Shuhuan Zhang, Stephen Herbert, Alex Bekker, Mark A. Adelman and Thomas S. Riles and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Science Translational Medicine.

In The Last Decade

Jomol Mathew

23 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jomol Mathew United States 11 156 112 108 86 85 24 692
Michael Meier Germany 19 128 0.8× 118 1.1× 274 2.5× 236 2.7× 212 2.5× 56 1000
Martin Bürger Germany 13 148 0.9× 61 0.5× 27 0.3× 57 0.7× 53 0.6× 44 588
Paulo S. Martins Brazil 12 41 0.3× 88 0.8× 27 0.3× 34 0.4× 136 1.6× 58 871
Michael T. Chang United States 13 49 0.3× 243 2.2× 72 0.7× 333 3.9× 75 0.9× 57 901
Francisco Caballero Spain 20 11 0.1× 481 4.3× 101 0.9× 7 0.1× 247 2.9× 56 1.4k
Apoorva Gupta India 9 30 0.2× 36 0.3× 76 0.7× 6 0.1× 101 1.2× 36 354
Gregory A. Hall United States 12 71 0.5× 110 1.0× 27 0.3× 25 0.3× 46 0.5× 31 560
Manjeet Singh India 12 69 0.4× 101 0.9× 94 0.9× 36 0.4× 7 0.1× 79 380
Fumiko Satoh Japan 15 91 0.6× 67 0.6× 50 0.5× 31 0.4× 122 1.4× 52 572
Lei Qin China 14 12 0.1× 97 0.9× 95 0.9× 12 0.1× 61 0.7× 50 597

Countries citing papers authored by Jomol Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Jomol Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jomol Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Jomol Mathew. A scholar is included among the top collaborators of Jomol Mathew 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 Jomol Mathew. Jomol Mathew 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
1.
Afshar, Majid, et al.. (2025). Machine Learning-Driven Modeling to Predict Postdischarge Venous Thromboembolism After Pancreatectomy for Pancreas Cancer. Annals of Surgical Oncology. 32(6). 4085–4093.
2.
3.
Afshar, Majid, Askar Safipour Afshar, Joseph Cavanaugh, et al.. (2023). Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies. JAMIA Open. 6(4). ooad092–ooad092. 4 indexed citations
4.
Smith, Maureen A., et al.. (2023). Insights into measuring health disparities using electronic health records from a statewide network of health systems: A case study. Journal of Clinical and Translational Science. 7(1). e54–e54. 6 indexed citations
5.
Praska, Corinne, Amy K. Taylor, Noelle K. LoConte, et al.. (2023). Association of Neighborhood Disadvantage with Short- and Long-Term Outcomes After Pancreatectomy for Pancreatic Ductal Adenocarcinoma. Annals of Surgical Oncology. 31(1). 488–498. 3 indexed citations
6.
Alfego, David, et al.. (2020). Treatment of Facial Fractures at a Level 1 Trauma Center: Do Medicaid and Non-Medicaid Enrollees Receive the Same Care?. Journal of Surgical Research. 252. 183–191. 8 indexed citations
7.
Rojas-Rodriguez, Raziel, Tiffany DeSouza, David Alfego, et al.. (2020). PAPPA-mediated adipose tissue remodeling mitigates insulin resistance and protects against gestational diabetes in mice and humans. Science Translational Medicine. 12(571). 35 indexed citations
8.
Lee, Vincent, et al.. (2020). JITA: A Platform for Enabling Real Time Point-of-Care Patient Recruitment.. PubMed. 2020. 355–359. 1 indexed citations
9.
Alfego, David, et al.. (2019). Treatment of Acute Cholecystitis: Do Medicaid and Non-Medicaid Enrolled Patients Receive the Same Care?. Journal of Gastrointestinal Surgery. 24(4). 939–948. 5 indexed citations
10.
Liu, Dongqi, et al.. (2019). Proton pump inhibitors increase the severity of hepatic encephalopathy in cirrhotic patients. World Journal of Hepatology. 11(6). 522–530. 21 indexed citations
11.
Jin, Hao, et al.. (2019). Toward Secure, Privacy-Preserving, and Interoperable Medical Data Sharing via Blockchain. 852–861. 7 indexed citations
12.
Alfego, David, et al.. (2019). Treatment of appendicitis: Do Medicaid and non-Medicaid–enrolled patients receive the same care?. Surgery. 166(5). 793–799. 4 indexed citations
13.
Jin, Hao, Yan Luo, Peilong Li, & Jomol Mathew. (2019). A Review of Secure and Privacy-Preserving Medical Data Sharing. IEEE Access. 7. 61656–61669. 174 indexed citations
14.
Hakimian, Shahrad, et al.. (2018). Video capsule endoscopy as a tool for evaluation of obscure overt gastrointestinal bleeding in the intensive care unit. SHILAP Revista de lepidopterología. 6(8). E989–E993. 4 indexed citations
15.
Kapoor, Alok, Sybil Crawford, Ahmed Nagy, et al.. (2018). SUPPORT‐AF: Piloting a Multi‐Faceted, Electronic Medical Record‐Based Intervention to Improve Prescription of Anticoagulation. Journal of the American Heart Association. 7(17). e009946–e009946. 14 indexed citations
16.
Li, Peilong, et al.. (2017). CareNet. 69–72. 3 indexed citations
17.
Ullman-Culleré, Mollie & Jomol Mathew. (2011). Emerging landscape of genomics in the electronic health record for personalized medicine. Human Mutation. 32(5). 512–516. 37 indexed citations
18.
Mathew, Jomol, Barry S. Taylor, Gary D. Bader, et al.. (2007). From Bytes to Bedside: Data Integration and Computational Biology for Translational Cancer Research. PLoS Computational Biology. 3(2). e12–e12. 45 indexed citations
19.
Cho, Ilseung, Martin J. Blaser, Fritz François, et al.. (2005). Helicobacter pylori and Overweight Status in the United States: Data from the Third National Health and Nutrition Examination Survey. American Journal of Epidemiology. 162(6). 579–584. 63 indexed citations
20.
Bekker, Alex, John R. Basile, Thomas S. Riles, et al.. (2004). Dexmedetomidine for Awake Carotid Endarterectomy: Efficacy, Hemodynamic Profile, and Side Effects. Journal of Neurosurgical Anesthesiology. 16(2). 126–135. 83 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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