Supakit Kanitnate

28 total papers · 450 total citations
22 papers, 319 citations indexed

About

Supakit Kanitnate is a scholar working on Surgery, Rheumatology and Orthopedics and Sports Medicine. According to data from OpenAlex, Supakit Kanitnate has authored 22 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 4 papers in Rheumatology and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Supakit Kanitnate's work include Total Knee Arthroplasty Outcomes (10 papers), Knee injuries and reconstruction techniques (7 papers) and Orthopaedic implants and arthroplasty (5 papers). Supakit Kanitnate is often cited by papers focused on Total Knee Arthroplasty Outcomes (10 papers), Knee injuries and reconstruction techniques (7 papers) and Orthopaedic implants and arthroplasty (5 papers). Supakit Kanitnate collaborates with scholars based in Thailand and Japan. Supakit Kanitnate's co-authors include Nattapol Tammachote, Sittisak Honsawek, Rachaneekorn Tammachote, Chayanin Angthong, Juntra Karbwang, Paskorn Sritipsukho, Nut Koonrungsesomboon, Ratha‐Korn Vilaichone, Sith Siramolpiwat and Thipaporn Tharavanij and has published in prestigious journals such as Journal of Bone and Joint Surgery, Clinical Orthopaedics and Related Research and The Journal of Arthroplasty.

In The Last Decade

Supakit Kanitnate

20 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Supakit Kanitnate	229	99	39	32	24	22	319
Michael J. DeRogatis	229 1.0×	64 0.6×	10 0.3×	20 0.6×	8 0.3×	24	344
William Kurth	139 0.6×	134 1.4×	21 0.5×	33 1.0×	16 0.7×	36	319
Masamori Shigematsu	219 1.0×	86 0.9×	77 2.0×	8 0.3×	11 0.5×	25	363
Yuki Fujihara	256 1.1×	43 0.4×	34 0.9×	10 0.3×	36 1.5×	26	347
Debasish Pyne	99 0.4×	107 1.1×	88 2.3×	29 0.9×	17 0.7×	17	248
Atsushi Urita	246 1.1×	147 1.5×	38 1.0×	9 0.3×	12 0.5×	31	346
Évelyne Verrouil	159 0.7×	233 2.4×	29 0.7×	56 1.8×	14 0.6×	16	342
Thana Turajane	141 0.6×	146 1.5×	71 1.8×	47 1.5×	22 0.9×	25	294
Marco Maiotti	251 1.1×	75 0.8×	90 2.3×	14 0.4×	24 1.0×	28	360
Patinharayil Gopinathan	226 1.0×	57 0.6×	21 0.5×	19 0.6×	16 0.7×	17	301

Countries citing papers authored by Supakit Kanitnate

Since Specialization

Citations

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

Fields of papers citing papers by Supakit Kanitnate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supakit Kanitnate

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