Narain Chotirosniramit

35 total papers · 402 total citations
17 papers, 246 citations indexed

About

Narain Chotirosniramit is a scholar working on Surgery, Infectious Diseases and Health. According to data from OpenAlex, Narain Chotirosniramit has authored 17 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Infectious Diseases and 4 papers in Health. Recurrent topics in Narain Chotirosniramit's work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Vaccine Coverage and Hesitancy (4 papers). Narain Chotirosniramit is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Vaccine Coverage and Hesitancy (4 papers). Narain Chotirosniramit collaborates with scholars based in Thailand, China and United States. Narain Chotirosniramit's co-authors include Kaweesak Chittawatanarat, Kittipan Rerkasem, Nongyao Kasatpibal, Kittipat Charoenkwan, Anon Chotirosniramit, Trichak Sandhu, Suwat Chariyalertsak, Kannikar Intawong, Aksara Thongprachum and Yodying Punjasawadwong and has published in prestigious journals such as PLoS ONE, Cochrane Database of Systematic Reviews and The American Journal of Surgery.

In The Last Decade

Narain Chotirosniramit

16 papers receiving 238 citations

Author Peers

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

Author Last Decade Papers Cites
Narain Chotirosniramit 66 62 56 48 39 17 246
Sheila Eckenrode 34 0.5× 28 0.5× 36 0.6× 21 0.4× 31 0.8× 16 325
Said Abusalem 53 0.8× 28 0.5× 45 0.8× 25 0.5× 94 2.4× 18 329
A.-G. Venier 40 0.6× 111 1.8× 49 0.9× 5 0.1× 50 1.3× 16 321
Demisew Amenu 87 1.3× 131 2.1× 18 0.3× 14 0.3× 25 0.6× 25 288
Katiuska Miliani 46 0.7× 120 1.9× 107 1.9× 8 0.2× 32 0.8× 12 323
C. Soltner 35 0.5× 70 1.1× 30 0.5× 5 0.1× 12 0.3× 15 306
Ronald Benenson 38 0.6× 37 0.6× 46 0.8× 9 0.2× 15 0.4× 14 327
Daniel Arnal Velasco 84 1.3× 102 1.6× 57 1.0× 22 0.5× 21 0.5× 35 289
Janat Tumukunde 54 0.8× 58 0.9× 42 0.8× 3 0.1× 30 0.8× 19 299
Oriol Estrada 16 0.2× 38 0.6× 43 0.8× 5 0.1× 84 2.2× 35 324

Countries citing papers authored by Narain Chotirosniramit

Since Specialization
Citations

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

Fields of papers citing papers by Narain Chotirosniramit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narain Chotirosniramit

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