Tommy Pacana

44 total papers · 1.1k total citations
20 papers, 844 citations indexed

About

Tommy Pacana is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tommy Pacana has authored 20 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 5 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tommy Pacana's work include Liver Disease Diagnosis and Treatment (11 papers), Helicobacter pylori-related gastroenterology studies (4 papers) and Diet, Metabolism, and Disease (3 papers). Tommy Pacana is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Helicobacter pylori-related gastroenterology studies (4 papers) and Diet, Metabolism, and Disease (3 papers). Tommy Pacana collaborates with scholars based in United States, France and United Kingdom. Tommy Pacana's co-authors include Arun J. Sanyal, Faridoddin Mirshahi, Sophie C. Cazanave, Srinivas V. Koduru, Daniel Contaifer, Amon Asgharpour, Mulugeta Seneshaw, Pierre Bédossa, Yujin Hoshida and Dayanjan S. Wijesinghe and has published in prestigious journals such as Gastroenterology, PLoS ONE and Journal of Hepatology.

In The Last Decade

Tommy Pacana

18 papers receiving 823 citations

Hit Papers

A diet-induced animal mod... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Tommy Pacana 574 235 201 162 161 20 844
I. Pierantonelli 600 1.0× 215 0.9× 265 1.3× 119 0.7× 195 1.2× 15 825
Kimberly Viker 567 1.0× 254 1.1× 216 1.1× 131 0.8× 192 1.2× 18 912
Mulugeta Seneshaw 496 0.9× 194 0.8× 235 1.2× 96 0.6× 135 0.8× 15 715
Sofie M. A. Walenbergh 503 0.9× 169 0.7× 298 1.5× 226 1.4× 120 0.7× 24 872
Ryoko Yada 601 1.0× 294 1.3× 338 1.7× 166 1.0× 114 0.7× 13 899
Massih Ningarhari 474 0.8× 183 0.8× 205 1.0× 212 1.3× 225 1.4× 21 790
Xabier Buqué 532 0.9× 258 1.1× 324 1.6× 106 0.7× 89 0.6× 22 856
Pradeep Kumar 534 0.9× 152 0.6× 368 1.8× 133 0.8× 155 1.0× 18 913
Emilia Ip 667 1.2× 245 1.0× 388 1.9× 132 0.8× 165 1.0× 14 952
Yin-xiong Li 757 1.3× 386 1.6× 253 1.3× 121 0.7× 162 1.0× 14 965

Countries citing papers authored by Tommy Pacana

Since Specialization
Citations

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

Fields of papers citing papers by Tommy Pacana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommy Pacana

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