Tongted Phumoonna

1.0k total citations · 1 hit paper
7 papers, 804 citations indexed

About

Tongted Phumoonna is a scholar working on Infectious Diseases, Endocrinology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tongted Phumoonna has authored 7 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Endocrinology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tongted Phumoonna's work include Infectious Disease Case Reports and Treatments (4 papers), Infections and bacterial resistance (3 papers) and Streptococcal Infections and Treatments (3 papers). Tongted Phumoonna is often cited by papers focused on Infectious Disease Case Reports and Treatments (4 papers), Infections and bacterial resistance (3 papers) and Streptococcal Infections and Treatments (3 papers). Tongted Phumoonna collaborates with scholars based in Australia, Costa Rica and United States. Tongted Phumoonna's co-authors include Dena Lyras, Julian I. Rood, Rachael Poon, Pauline M. Howarth, Jennifer R. O’Connor, Gayatri Vedantam, Dale N. Gerding, Glen P. Carter, Vicki Adams and Stuart Johnson and has published in prestigious journals such as Nature, Infection and Immunity and Vaccine.

In The Last Decade

Tongted Phumoonna

7 papers receiving 779 citations

Hit Papers

Toxin B is essential for virulence of Clostridium difficile 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tongted Phumoonna Australia 7 666 264 153 129 93 7 804
Rachael Poon Australia 10 963 1.4× 296 1.1× 136 0.9× 177 1.4× 153 1.6× 11 1.1k
Sandra Hoÿs France 14 585 0.9× 210 0.8× 102 0.7× 242 1.9× 41 0.4× 22 683
Yajarayma J. Tang United States 13 467 0.7× 218 0.8× 66 0.4× 154 1.2× 32 0.3× 16 581
Miriam Samstein United States 3 603 0.9× 236 0.9× 87 0.6× 474 3.7× 226 2.4× 6 948
Bože Sušac United States 7 421 0.6× 177 0.7× 176 1.2× 362 2.8× 317 3.4× 8 867
Kylie A. Farrow Australia 8 533 0.8× 237 0.9× 100 0.7× 109 0.8× 17 0.2× 8 629
Ramiro L. Gutiérrez United States 14 364 0.5× 148 0.6× 66 0.4× 157 1.2× 59 0.6× 46 712
Toshi Nada Japan 11 199 0.3× 80 0.3× 203 1.3× 69 0.5× 140 1.5× 18 538
Raymond P. Podzorski United States 10 165 0.2× 159 0.6× 126 0.8× 102 0.8× 118 1.3× 18 486
Prapaporn Boonma United States 11 191 0.3× 103 0.4× 51 0.3× 255 2.0× 69 0.7× 14 578

Countries citing papers authored by Tongted Phumoonna

Since Specialization
Citations

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

Fields of papers citing papers by Tongted Phumoonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongted Phumoonna

This figure shows the co-authorship network connecting the top 25 collaborators of Tongted Phumoonna. A scholar is included among the top collaborators of Tongted Phumoonna 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 Tongted Phumoonna. Tongted Phumoonna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Heuzenroeder, Michael W., Mary Barton, Thiru Vanniasinkam, & Tongted Phumoonna. (2009). Linear B-Cell Epitope Mapping Using Enzyme-Linked Immunosorbent Assay for Libraries of Overlapping Synthetic Peptides. Methods in molecular biology. 524. 137–144. 10 indexed citations
2.
Lyras, Dena, Jennifer R. O’Connor, Pauline M. Howarth, et al.. (2009). Toxin B is essential for virulence of Clostridium difficile. Nature. 458(7242). 1176–1179. 589 indexed citations breakdown →
3.
Lyras, Dena, Sacha J. Pidot, Marietta Flores-Dı́az, et al.. (2009). The NanI and NanJ Sialidases of Clostridium perfringens Are Not Essential for Virulence. Infection and Immunity. 77(10). 4421–4428. 39 indexed citations
4.
Phumoonna, Tongted, Mary Barton, Thiru Vanniasinkam, & Michael W. Heuzenroeder. (2008). Chimeric vapA/groEL2 DNA vaccines enhance clearance of Rhodococcus equi in aerosol challenged C3H/He mice. Vaccine. 26(20). 2457–2465. 15 indexed citations
5.
Tennant, Sharon M., Elizabeth L. Hartland, Tongted Phumoonna, et al.. (2007). Influence of Gastric Acid on Susceptibility to Infection with Ingested Bacterial Pathogens. Infection and Immunity. 76(2). 639–645. 135 indexed citations
6.
Phumoonna, Tongted, Gary Muscatello, James R. Gilkerson, et al.. (2006). Clinical Evaluation of a Peptide‐ELISA based upon N‐terminal B‐cell Epitope of the VapA Protein for Diagnosis ofRhodococcus equiPneumonia in Foals. Journal of Veterinary Medicine Series B. 53(3). 126–132. 9 indexed citations
7.
Phumoonna, Tongted, Mary Barton, & Michael W. Heuzenroeder. (2005). Recognition of a B‐cell Epitope of the VapA Protein ofRhodococcus equiin Newborn and Experimentally Infected Foals. Journal of Veterinary Medicine Series B. 52(6). 291–295. 7 indexed citations

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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