Wasan Katip

37 papers receiving 560 citations

Peers

Wasan Katip
Comparison fields: 5 of 70
  • Molecular Medicine 215
  • Applied Microbiology and Biotechnology 40
  • Endocrinology 42
  • Pharmacology 115
  • Clinical Biochemistry 42
Replace Gladys Villas Boas do Prado with:
Gladys Villas Boas do Prado Brazil
Silvana Vargas Superti Brazil
Jung-Jr Ye Taiwan
Preecha Montakantikul Thailand
Jessica K. Ortwine United States
Katherine A. Sulham United States
Lauro Vieira Perdigão Neto Brazil
Timothy M. Murphy United States
Sara Alosaimy United States
Marcello Meledandri Italy
Wasan Katip relative to Gladys Villas Boas do Prado Brazil Gladys Villas Boas do Prado's profile →
Citations per field
00.5×10×17×
Gladys Villas Boas do Prado · 1×
Citations per year

Countries citing papers authored by Wasan Katip

Since Specialization
Citations

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

Fields of papers citing papers by Wasan Katip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Wasan Katip, 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 Wasan Katip Line = papers co-authored together Wasan Katip links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 202141
3 202340
4 202133
5 202232
6 202029
7 201927
8 202126
9 202125
10 201725
11 201624
12 202022
13 201720
14 201720
15 202018
16 202418
17 202217
18 201915
19 202113
20 202013

About Wasan Katip

Wasan Katip is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 566 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers), Pneumonia and Respiratory Infections (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Streptococcal Infections and Treatments (5 papers), Urinary Tract Infections Management (4 papers), Antibiotic Use and Resistance (3 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Molecular Medicine (215 citations), Applied Microbiology and Biotechnology (40 citations), Endocrinology (42 citations), Pharmacology (115 citations) and Clinical Biochemistry (42 citations). Wasan Katip has collaborated with scholars based in Thailand, Malaysia and Australia. Frequent co-authors include Peninnah Oberdorfer, Ajaree Rayanakorn, Siriporn Okonogi, Aroonrut Lucksiri, Learn−Han Lee, Nongyao Kasatpibal, Bey Hing Goh, Dujrudee Chinwong, Surachai Pikulkaew and Wibul Wongpoowarak. Their work appears in journals such as Pharmaceutics, Antibiotics, Infection and Drug Resistance, Frontiers in Pharmacology and Journal of Infection and Public Health.

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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