S. Jirasiritham

66 total papers · 586 total citations
37 papers, 438 citations indexed

About

S. Jirasiritham is a scholar working on Transplantation, Surgery and Epidemiology. According to data from OpenAlex, S. Jirasiritham has authored 37 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Transplantation, 12 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in S. Jirasiritham's work include Renal Transplantation Outcomes and Treatments (21 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Neurological Complications and Syndromes (7 papers). S. Jirasiritham is often cited by papers focused on Renal Transplantation Outcomes and Treatments (21 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Neurological Complications and Syndromes (7 papers). S. Jirasiritham collaborates with scholars based in Thailand and United States. S. Jirasiritham's co-authors include V. Sumethkul, Atiporn Ingsathit, V. Mavichak, Boonmee Sathapatayavongs, Timothy W. Flegel, Vichai Atichartakarn, Paisan Leelachaikul, Siriorn P. Watcharananan, Wasun Chantratita and K Na‐Bangchang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Infectious Diseases and American Journal of Transplantation.

In The Last Decade

S. Jirasiritham

36 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
S. Jirasiritham 195 164 114 86 63 37 438
Mamta Agarwal 136 0.7× 139 0.8× 86 0.8× 72 0.8× 70 1.1× 41 445
Nelson Zocoler Galante 123 0.6× 252 1.5× 146 1.3× 16 0.2× 123 2.0× 29 481
Edwin J. Smith 144 0.7× 55 0.3× 81 0.7× 23 0.3× 43 0.7× 21 452
Luciana Tanajura Santamaria Saber 113 0.6× 133 0.8× 90 0.8× 11 0.1× 173 2.7× 19 476
Tarek Said 194 1.0× 107 0.7× 62 0.5× 8 0.1× 44 0.7× 60 444
José Gerardo Oliveira 86 0.4× 153 0.9× 130 1.1× 9 0.1× 51 0.8× 49 476
Nalinee Premasathian 27 0.1× 221 1.3× 126 1.1× 37 0.4× 102 1.6× 36 479
Antonio Franco 144 0.7× 172 1.0× 82 0.7× 6 0.1× 34 0.5× 47 418
Rajesh Sharma 68 0.3× 41 0.3× 154 1.4× 19 0.2× 70 1.1× 44 389
Karla Laís Pêgas 73 0.4× 104 0.6× 110 1.0× 10 0.1× 92 1.5× 44 404

Countries citing papers authored by S. Jirasiritham

Since Specialization
Citations

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

Fields of papers citing papers by S. Jirasiritham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Jirasiritham

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