Nilang Patel

45 total papers · 676 total citations
29 papers, 458 citations indexed

About

Nilang Patel is a scholar working on Hepatology, Epidemiology and Nephrology. According to data from OpenAlex, Nilang Patel has authored 29 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 9 papers in Epidemiology and 8 papers in Nephrology. Recurrent topics in Nilang Patel's work include Liver Disease and Transplantation (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and Chronic Kidney Disease and Diabetes (3 papers). Nilang Patel is often cited by papers focused on Liver Disease and Transplantation (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and Chronic Kidney Disease and Diabetes (3 papers). Nilang Patel collaborates with scholars based in United States and Denmark. Nilang Patel's co-authors include James W. Lohr, Pradeep Arora, Mandip Panesar, Pranav Dalal, Nader D. Nader, Mojgan Golzy, Randolph L. Carter, Anu Gupta, Kabir Jalal and JM Levine and has published in prestigious journals such as Journal of Neuroscience, Gastroenterology and Hepatology.

In The Last Decade

Nilang Patel

25 papers receiving 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nilang Patel	180	124	110	90	73	29	458
Kathleen E. Roberts	143 0.8×	107 0.9×	149 1.4×	50 0.6×	52 0.7×	28	549
Yue Zheng	116 0.6×	125 1.0×	143 1.3×	35 0.4×	26 0.4×	29	421
Marta Botrán	118 0.7×	114 0.9×	83 0.8×	44 0.5×	20 0.3×	29	407
P. Sporn	84 0.5×	140 1.1×	54 0.5×	99 1.1×	6 0.1×	39	408
Y. Bouffard	63 0.3×	119 1.0×	165 1.5×	60 0.7×	7 0.1×	24	469
Paul Kubler	42 0.2×	101 0.8×	70 0.6×	25 0.3×	38 0.5×	34	488
Pilar Orellana	49 0.3×	89 0.7×	86 0.8×	76 0.8×	43 0.6×	35	459
Luis Chavez	55 0.3×	291 2.3×	95 0.9×	57 0.6×	7 0.1×	24	414
G Richard Spooner	79 0.4×	81 0.7×	80 0.7×	36 0.4×	37 0.5×	17	486
Joseph H. Clark	32 0.2×	107 0.9×	127 1.2×	15 0.2×	23 0.3×	26	498

Countries citing papers authored by Nilang Patel

Since Specialization

Citations

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

Fields of papers citing papers by Nilang Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilang Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Nilang Patel. A scholar is included among the top collaborators of Nilang 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 Nilang Patel. Nilang 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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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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