Panitta Sitthinamsuwan

561 citations
37 papers · 326 indexed · h-index 11

Panitta Sitthinamsuwan

32 papers receiving 318 citations

Peers

Panitta Sitthinamsuwan
Comparison fields: 5 of 56
  • Dermatology 114
  • Pathology and Forensic Medicine 129
  • Neurology 67
  • Oncology 82
  • Microbiology 2
Replace Ksenya V. Shelekhova with:
Ksenya V. Shelekhova Russia
Deniz Özcan Türkiye
Faouzi El Mezni Tunisia
Claire Bénet France
Gabriele Sangalli Italy
Edi Viale Italy
Iris Wieser Austria
Susan M. Wester United States
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Övgü Aydın Türkiye
Panitta Sitthinamsuwan relative to Ksenya V. Shelekhova Russia Ksenya V. Shelekhova's profile →
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Citations per year

Countries citing papers authored by Panitta Sitthinamsuwan

Since Specialization
Citations

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

Fields of papers citing papers by Panitta Sitthinamsuwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Panitta Sitthinamsuwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Panitta Sitthinamsuwan Line = papers co-authored together Panitta Sitthinamsuwan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20223
4 20220
5 20196
6 201932
7 20188
8 20182
9 20189
10
Takayasu Arteritis Presenting with Cholesterol Emboli
20170
11 20163
12 201614
13 20142
14 201463
15 201317
16 201110
17 20111
18 20113
19
Extranodal NK/T cell lymphoma, nasal type, presenting with primary cutaneous lesion mimicking granulomatous panniculitis: a case report and review of literature.
20106
20
Correlation between Gleason Scores of Prostatic Biopsies and Radical Prostatectomy Specimens
20091

About Panitta Sitthinamsuwan

Panitta Sitthinamsuwan is a scholar working on Dermatology, Pathology and Forensic Medicine and Epidemiology, having authored 37 papers that have together received 326 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Fungal Infections and Studies (6 papers), Nail Diseases and Treatments (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Autoimmune and Inflammatory Disorders (4 papers), Antifungal resistance and susceptibility (4 papers) and Vascular Tumors and Angiosarcomas (3 papers). The work is most often cited by research in Dermatology (114 citations), Pathology and Forensic Medicine (129 citations) and Neurology (67 citations). Panitta Sitthinamsuwan has collaborated with scholars based in Thailand, United States and Austria. Frequent co-authors include Penvadee Pattanaprichakul, Sanya Sukpanichnant, Tawatchai Pongpruttipan, Yingyong Chinthammitr, Timothy H. McCalmont, Pornpim Korpraphong, Rungsima Wanitphakdeedecha, Kleebsabai Sanpakit, Woraphong Manuskiatti and Soo‐Yong Tan. Their work appears in journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and The American Journal of Surgical Pathology.

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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