Rungrueng Kitphati

2.6k citations
35 papers · 1.7k indexed · 1 hit paper · h-index 17

Rungrueng Kitphati

35 papers receiving 1.6k citations

Hit Papers

Probable Person-to-Person Transmission of Avian Influenza...6152005202620122019200400600

Peers

Rungrueng Kitphati
Comparison fields: 5 of 96
  • Molecular Medicine 197
  • Agronomy and Crop Science 378
  • Infectious Diseases 623
  • Epidemiology 1.2k
  • Modeling and Simulation 142
Replace Isabel Leroux‐Roels with:
Isabel Leroux‐Roels Belgium
Fernando Rosso Colombia
Daniel Tsung‐Ning Huang Taiwan
Kitty S. C. Fung China
Raymond T. P. Lin Singapore
Thomas Verstraeten Belgium
Jeffrey M. Bender United States
Jennifer Robson Australia
Daniela Schmid Austria
Meerjady Sabrina Flora Bangladesh
Rungrueng Kitphati relative to Isabel Leroux‐Roels Belgium Isabel Leroux‐Roels's profile →
Citations per field
00.5×1.5×2.1×
Isabel Leroux‐Roels · 1×
Citations per year

Countries citing papers authored by Rungrueng Kitphati

Since Specialization
Citations

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

Fields of papers citing papers by Rungrueng Kitphati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rungrueng Kitphati, 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 Rungrueng Kitphati Line = papers co-authored together Rungrueng Kitphati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 202219
4 20217
5 20146
6 20139
7 2013141
8 201118
9 201097
10 201012
11 20107
12 20087
13 200816
14 200714
15 200725
16 200716
17 200778
18 2007101
19
Probable Person-to-Person Transmission of Avian Influenza A (H5N1)breakdown →
2005615
20 200533

About Rungrueng Kitphati

Rungrueng Kitphati is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Molecular Medicine, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Antibiotic Use and Resistance (4 papers), Animal Disease Management and Epidemiology (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Molecular Medicine (197 citations), Agronomy and Crop Science (378 citations) and Infectious Diseases (623 citations). Rungrueng Kitphati has collaborated with scholars based in Thailand, United States and United Kingdom. Frequent co-authors include Pilaipan Puthavathana, Prasert Auewarakul, Anucha Apisarnthanarak, Mongkol Uiprasertkul, Linda M. Mundy, Malinee Chittaganpitch, Kumnuan Ungchusak, Pranee Thawatsupha, Wattana Auwanit and Nancy J. Cox. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases and Scientific Reports.

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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