Nikhil Vergis

103 total papers · 1.7k total citations
39 papers, 655 citations indexed

About

Nikhil Vergis is a scholar working on Epidemiology, Pathology and Forensic Medicine and Hepatology. According to data from OpenAlex, Nikhil Vergis has authored 39 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 25 papers in Pathology and Forensic Medicine and 8 papers in Hepatology. Recurrent topics in Nikhil Vergis's work include Alcohol Consumption and Health Effects (25 papers), Liver Disease Diagnosis and Treatment (24 papers) and Liver Disease and Transplantation (7 papers). Nikhil Vergis is often cited by papers focused on Alcohol Consumption and Health Effects (25 papers), Liver Disease Diagnosis and Treatment (24 papers) and Liver Disease and Transplantation (7 papers). Nikhil Vergis collaborates with scholars based in United Kingdom, United States and Zambia. Nikhil Vergis's co-authors include Mark Thursz, Paul Middleton, Stephen R. Atkinson, Ewan Forrest, Anne McCune, Steven Masson, Andrew Austin, Godhev K. Manakkat Vijay, Yun Ma and Michael Allison and has published in prestigious journals such as The Lancet, Blood and Gastroenterology.

In The Last Decade

Nikhil Vergis

36 papers receiving 644 citations

Author Peers

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

Author						Papers	Cites
Nikhil Vergis	401	292	171	107	87	39	655
Tianyi Ren	399 1.0×	210 0.7×	164 1.0×	114 1.1×	78 0.9×	30	758
Dávid Tornai	361 0.9×	165 0.6×	229 1.3×	106 1.0×	65 0.7×	32	594
Tetsuhei Ogawa	367 0.9×	117 0.4×	133 0.8×	65 0.6×	219 2.5×	35	655
Sidsel Støy	337 0.8×	127 0.4×	218 1.3×	130 1.2×	44 0.5×	24	571
Anne McCune	379 0.9×	295 1.0×	224 1.3×	42 0.4×	90 1.0×	23	604
Kengo Kawai	342 0.9×	78 0.3×	181 1.1×	60 0.6×	95 1.1×	26	583
Fernando Magdaleno	361 0.9×	89 0.3×	254 1.5×	64 0.6×	69 0.8×	30	751
Ursula Huber-Schönauer	498 1.2×	201 0.7×	185 1.1×	31 0.3×	257 3.0×	30	692
Jaswinder Singh Maras	363 0.9×	110 0.4×	244 1.4×	66 0.6×	45 0.5×	61	737
Antonino Bono	211 0.5×	249 0.9×	134 0.8×	31 0.3×	47 0.5×	24	600

Countries citing papers authored by Nikhil Vergis

Since Specialization

Citations

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

Fields of papers citing papers by Nikhil Vergis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Vergis

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