Tammy M. Rickabaugh

42 total papers · 2.1k total citations
20 papers, 869 citations indexed

About

Tammy M. Rickabaugh is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Tammy M. Rickabaugh has authored 20 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Tammy M. Rickabaugh's work include Cytomegalovirus and herpesvirus research (6 papers), Viral-associated cancers and disorders (5 papers) and HIV-related health complications and treatments (4 papers). Tammy M. Rickabaugh is often cited by papers focused on Cytomegalovirus and herpesvirus research (6 papers), Viral-associated cancers and disorders (5 papers) and HIV-related health complications and treatments (4 papers). Tammy M. Rickabaugh collaborates with scholars based in United States and Bulgaria. Tammy M. Rickabaugh's co-authors include Beth D. Jamieson, Ren Sun, Ting-Ting Wu, Lance E. Hultin, Patricia M. Hultin, Leming Tong, Roger Detels, Ryan D. Kilpatrick, Mary Ann Hausner and John Phair and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Tammy M. Rickabaugh

19 papers receiving 860 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tammy M. Rickabaugh 324 259 235 196 160 20 869
Bernd Sporer 217 0.7× 155 0.6× 156 0.7× 222 1.1× 115 0.7× 18 846
Claes Martin 186 0.6× 303 1.2× 119 0.5× 250 1.3× 139 0.9× 15 887
Neeti Agarwal 148 0.5× 320 1.2× 215 0.9× 57 0.3× 105 0.7× 23 960
Dieter Lang 614 1.9× 270 1.0× 277 1.2× 142 0.7× 176 1.1× 20 971
K. Sintnicolaas 340 1.0× 111 0.4× 161 0.7× 463 2.4× 76 0.5× 27 1.0k
Magdalena Kalinowska 115 0.4× 61 0.2× 406 1.7× 165 0.8× 211 1.3× 26 940
Sukalaya Lerdlum 159 0.5× 90 0.3× 68 0.3× 41 0.2× 295 1.8× 35 826
Salix Boulet 106 0.3× 121 0.5× 206 0.9× 709 3.6× 92 0.6× 32 1.0k
J. G. Fournier 140 0.4× 164 0.6× 325 1.4× 66 0.3× 61 0.4× 27 926
George Pan 60 0.2× 158 0.6× 318 1.4× 125 0.6× 71 0.4× 24 740

Countries citing papers authored by Tammy M. Rickabaugh

Since Specialization
Citations

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

Fields of papers citing papers by Tammy M. Rickabaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tammy M. Rickabaugh. 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 Tammy M. Rickabaugh. The network helps show where Tammy M. Rickabaugh may publish in the future.

Co-authorship network of co-authors of Tammy M. Rickabaugh

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

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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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