M Nguyen-Tat

897 total citations
28 papers, 637 citations indexed

About

M Nguyen-Tat is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, M Nguyen-Tat has authored 28 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 15 papers in Surgery and 14 papers in Epidemiology. Recurrent topics in M Nguyen-Tat's work include Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (13 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (5 papers). M Nguyen-Tat is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (13 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (5 papers). M Nguyen-Tat collaborates with scholars based in Germany, Netherlands and Switzerland. M Nguyen-Tat's co-authors include Oliver Pech, Andrea May, Thomas Rabenstein, Christian Ell, Peter R. Galle, Jens U. Marquardt, J Pohl, J Pohl, Marcus‐Alexander Wörns and Christian Labenz and has published in prestigious journals such as Gut, Journal of Hepatology and The American Journal of Gastroenterology.

In The Last Decade

M Nguyen-Tat

28 papers receiving 622 citations

Peers

M Nguyen-Tat
Comparison fields: 5 of 70
  • Surgery 323
  • Pulmonary and Respiratory Medicine 275
  • Oncology 214
  • Hepatology 212
  • Epidemiology 208
Replace Jagpal S. Klair with:
Jagpal S. Klair United States
Akira Umemura Japan
Onur Kutlu United States
Johannes Rey Germany
Daniel Buckles United States
Charles F. Gholson United States
Micheal Tadros United States
Pedro Bastos Portugal
Weiguang Qiao China
Zeljka Jutric United States
Jagpal S. Klair United States View profile →
Citations per field, relative to M Nguyen-Tat
M Nguyen-Tat · 1×
Citations per year, relative to M Nguyen-Tat
M Nguyen-Tat · 1×

Countries citing papers authored by M Nguyen-Tat

Since Specialization
Citations

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

Fields of papers citing papers by M Nguyen-Tat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Nguyen-Tat. 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 M Nguyen-Tat. The network helps show where M Nguyen-Tat may publish in the future.

Co-authorship network of co-authors of M Nguyen-Tat

This figure shows the co-authorship network connecting the top 25 collaborators of M Nguyen-Tat. A scholar is included among the top collaborators of M Nguyen-Tat 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 M Nguyen-Tat. M Nguyen-Tat 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
# Work Indexed citations
1 29
2 10
3 3
4 15
5 5
6 23
7 71
8 16
9 8
10 1
11 6
12 28
13 13
14 8
15 5
16 111
17 6
18 12
19 119
20 87

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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