Dilip Patel

2.0k total citations
15 papers, 1.5k citations indexed

About

Dilip Patel is a scholar working on Surgery, Molecular Biology and Cancer Research. According to data from OpenAlex, Dilip Patel has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Dilip Patel's work include Cancer, Lipids, and Metabolism (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Dilip Patel is often cited by papers focused on Cancer, Lipids, and Metabolism (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Dilip Patel collaborates with scholars based in United Kingdom, United States and Canada. Dilip Patel's co-authors include Navaaz Saloojee, Alaa Rostom, David Moher, Richmond Sy, Vasil Mamaladze, Margaret Sampson, Catherine Dubé, Fatemeh Yazdi, Chantelle Garritty and Li Zhang and has published in prestigious journals such as Gastroenterology, The American Journal of Human Genetics and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Dilip Patel

15 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dilip Patel United Kingdom	13	898	836	693	187	142	15	1.5k
G. Bresci Italy	21	432 0.5×	198 0.2×	616 0.9×	266 1.4×	133 0.9×	56	1.4k
Paola Ceppa Italy	22	554 0.6×	317 0.4×	784 1.1×	39 0.2×	176 1.2×	59	1.8k
Antônio Atílio Laudanna Brazil	23	574 0.6×	223 0.3×	544 0.8×	141 0.8×	107 0.8×	74	1.4k
M M Walker United Kingdom	20	1.2k 1.4×	571 0.7×	226 0.3×	40 0.2×	101 0.7×	30	1.5k
Frank Serge Lehmann Switzerland	19	498 0.6×	126 0.2×	209 0.3×	204 1.1×	164 1.2×	34	976
Jeng‐Yih Wu Taiwan	18	1.0k 1.2×	324 0.4×	126 0.2×	60 0.3×	217 1.5×	40	1.5k
F. J. W. Ten Kate Netherlands	18	646 0.7×	134 0.2×	213 0.3×	84 0.4×	113 0.8×	43	1.2k
Sonia S. Kupfer United States	13	235 0.3×	270 0.3×	410 0.6×	544 2.9×	156 1.1×	26	1.3k
Johan Bohr Sweden	31	470 0.5×	458 0.5×	2.2k 3.2×	1.6k 8.4×	130 0.9×	65	2.5k
Emilia Saraga Switzerland	23	881 1.0×	295 0.4×	176 0.3×	144 0.8×	273 1.9×	37	1.8k

Countries citing papers authored by Dilip Patel

Since Specialization

Citations

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

Fields of papers citing papers by Dilip Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilip Patel

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

All Works

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15 of 15 papers shown

Patel, Dilip, Andrew Mumford, Sarah K. Westbury, et al.. (2023). Functional filter for whole-genome sequencing data identifies HHT and stress-associated non-coding SMAD4 polyadenylation site variants >5 kb from coding DNA. The American Journal of Human Genetics. 110(11). 1903–1918. 6 indexed citations

Shovlin, Claire L., Clare Gilson, Mark Busbridge, et al.. (2016). Can Iron Treatments Aggravate Epistaxis in Some Patients With Hereditary Hemorrhagic Telangiectasia?. The Laryngoscope. 126(11). 2468–2474. 18 indexed citations

Patel, Dilip, R.A. Almeida, John R. Dunlap, & S.P. Oliver. (2009). Bovine lactoferrin serves as a molecular bridge for internalization of Streptococcus uberis into bovine mammary epithelial cells. Veterinary Microbiology. 137(3-4). 297–301. 39 indexed citations

Gouni‐Berthold, Ioanna, Heiner K. Berthold, Helena Gylling, et al.. (2007). Effects of ezetimibe and/or simvastatin on LDL receptor protein expression and on LDL receptor and HMG-CoA reductase gene expression: A randomized trial in healthy men. Atherosclerosis. 198(1). 198–207. 51 indexed citations

Alonso‐Hearn, Marta, Dilip Patel, Lia Danelishvili, Lisbeth Meunier‐Goddik, & Luiz E. Bermudez. (2007). TheMycobacterium aviumsubsp.paratuberculosisMAP3464 Gene Encodes an Oxidoreductase Involved in Invasion of Bovine Epithelial Cells through the Activation of Host Cell Cdc42. Infection and Immunity. 76(1). 170–178. 28 indexed citations

Rostom, Alaa, Emilie Jolicoeur, Catherine Dubé, et al.. (2006). A randomized prospective trial comparing different regimens of oral sodium phosphate and polyethylene glycol–based lavage solution in the preparation of patients for colonoscopy. Gastrointestinal Endoscopy. 64(4). 544–552. 107 indexed citations

Patel, Dilip, Lia Danelishvili, Yoshitaka Yamazaki, et al.. (2006). The Ability ofMycobacterium aviumsubsp.paratuberculosisTo Enter Bovine Epithelial Cells Is Influenced by Preexposure to a Hyperosmolar Environment and Intracellular Passage in Bovine Mammary Epithelial Cells. Infection and Immunity. 74(5). 2849–2855. 60 indexed citations

Pisciotta, Livia, Claudio Priore Oliva, Angelo B. Cefalù, et al.. (2005). Additive effect of mutations in LDLR and PCSK9 genes on the phenotype of familial hypercholesterolemia. Atherosclerosis. 186(2). 433–440. 96 indexed citations

Rostom, Alaa, Catherine Dubé, Ann Cranney, et al.. (2005). The diagnostic accuracy of serologic tests for celiac disease: A systematic review. Gastroenterology. 128(4). S38–S46. 394 indexed citations

10.

Dubé, Catherine, Alaa Rostom, Richmond Sy, et al.. (2005). The prevalence of celiac disease in average-risk and at-risk Western European populations: A systematic review. Gastroenterology. 128(4). S57–S67. 477 indexed citations

11.

Naoumova, R.P., Isabella Tosi, Dilip Patel, et al.. (2005). Severe Hypercholesterolemia in Four British Families With the D374Y Mutation in the PCSK9 Gene. Arteriosclerosis Thrombosis and Vascular Biology. 25(12). 2654–2660. 148 indexed citations

12.

Gibbons, Geoffrey F., Dilip Patel, David Wiggins, & Brian L. Knight. (2002). The functional efficiency of lipogenic and cholesterogenic gene expression in normal mice and in mice lacking the peroxisomal proliferator-activated receptor–alpha (PPAR–α). Advances in Enzyme Regulation. 42. 227–247. 21 indexed citations

13.

Menear, Keith, et al.. (1992). A novel approach to the site specific delivery of potential HMG-CoA reductase inhibitors. Bioorganic & Medicinal Chemistry Letters. 2(4). 285–290. 8 indexed citations

14.

King‐Underwood, Linda, Vilmundur Guðnason, Steve E. Humphries, et al.. (1991). Identification of the 664 proline to leucine mutation in the low density lipoprotein receptor in four unrelated patients with familial hypercholesterolaemia in the UK. Clinical Genetics. 40(1). 17–28. 45 indexed citations

15.

Thompson, Wade, et al.. (1982). Does uncomplicated diverticular disease produce symptoms?. Digestive Diseases and Sciences. 27(7). 605–608. 29 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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