Wasan Katip

37 papers receiving 509 citations

Peers

Wasan Katip
Comparison fields: 5 of 70
  • Molecular Medicine 241
  • Applied Microbiology and Biotechnology 76
  • Clinical Biochemistry 98
  • Pharmacology 217
  • Endocrinology 60
Replace Tomefa E. Asempa with:
Tomefa E. Asempa United States
Andrew Henderson Australia
Jung-Jr Ye Taiwan
Haley J. Morrill United States
Caterina Campoli Italy
Monica V. Mahoney United States
Seth T. Housman United States
Patricia N. Holden United States
Lauro Vieira Perdigão Neto Brazil
Preecha Montakantikul Thailand
Wasan Katip relative to Tomefa E. Asempa United States Tomefa E. Asempa's profile →
Citations per field
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Tomefa E. Asempa · 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 202045
2 202139
3 202334
4 202229
5 202129
6 202028
7 201926
8 202124
9 202123
10 201722
11 201622
12 201720
13 202019
14 201719
15 202216
16 201915
17 202014
18 202414
19 202013
20 202112

About Wasan Katip

Wasan Katip is a scholar working on Pharmacology, Epidemiology, Molecular Medicine, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 39 papers that have together received 514 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (22 papers), Antibiotic Resistance in Bacteria (17 papers), Pneumonia and Respiratory Infections (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Use and Resistance (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Streptococcal Infections and Treatments (5 papers) and Urinary Tract Infections Management (5 papers). The work is most often cited by research in Molecular Medicine (241 citations), Applied Microbiology and Biotechnology (76 citations), Clinical Biochemistry (98 citations), Pharmacology (217 citations) and Endocrinology (60 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, Sutthiporn Pattharachayakul, Wibul Wongpoowarak and Sutep Jaruratanasirikul. Their work appears in journals such as Pharmaceutics, Antibiotics, Infection and Drug Resistance, International Journal of Infectious Diseases 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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