Jenna M. Tabor-Godwin

605 total citations
7 papers, 463 citations indexed

About

Jenna M. Tabor-Godwin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Jenna M. Tabor-Godwin has authored 7 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Immunology. Recurrent topics in Jenna M. Tabor-Godwin's work include Viral Infections and Immunology Research (4 papers), interferon and immune responses (3 papers) and RNA regulation and disease (3 papers). Jenna M. Tabor-Godwin is often cited by papers focused on Viral Infections and Immunology Research (4 papers), interferon and immune responses (3 papers) and RNA regulation and disease (3 papers). Jenna M. Tabor-Godwin collaborates with scholars based in United States, Russia and Australia. Jenna M. Tabor-Godwin's co-authors include Ralph Feuer, Ginger Tsueng, Jeffrey J. Hayes, Hope A. Cole, Chelsea M. Ruller, J. Lindsay Whitton, Naili An, William B. Kiosses, Christopher T. Cornell and Stephen J. Crocker and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Virology.

In The Last Decade

Jenna M. Tabor-Godwin

7 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jenna M. Tabor-Godwin United States 7 221 209 139 128 71 7 463
Vrushali Mangale United States 5 146 0.7× 162 0.8× 127 0.9× 137 1.1× 74 1.0× 7 409
Naoko Iwata Japan 14 124 0.6× 298 1.4× 214 1.5× 252 2.0× 96 1.4× 35 723
Myint Oo Chang Japan 9 51 0.2× 130 0.6× 350 2.5× 123 1.0× 142 2.0× 15 672
Haijing Shi China 11 140 0.6× 110 0.5× 116 0.8× 141 1.1× 52 0.7× 31 344
Yuriko Katsushima Japan 18 217 1.0× 257 1.2× 371 2.7× 289 2.3× 46 0.6× 31 780
Guang-Yun Cai United States 11 38 0.2× 125 0.6× 219 1.6× 115 0.9× 97 1.4× 14 499
Batsheva Rozman Israel 6 39 0.2× 164 0.8× 97 0.7× 114 0.9× 72 1.0× 7 327
Amy Brideau-Andersen United States 7 50 0.2× 250 1.2× 101 0.7× 56 0.4× 55 0.8× 20 418
Arlene I. Ramsingh United States 18 456 2.1× 137 0.7× 262 1.9× 256 2.0× 228 3.2× 31 802
Nelson Acosta‐Rivero Cuba 15 23 0.1× 163 0.8× 260 1.9× 76 0.6× 46 0.6× 38 527

Countries citing papers authored by Jenna M. Tabor-Godwin

Since Specialization
Citations

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

Fields of papers citing papers by Jenna M. Tabor-Godwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenna M. Tabor-Godwin. 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 Jenna M. Tabor-Godwin. The network helps show where Jenna M. Tabor-Godwin may publish in the future.

Co-authorship network of co-authors of Jenna M. Tabor-Godwin

This figure shows the co-authorship network connecting the top 25 collaborators of Jenna M. Tabor-Godwin. A scholar is included among the top collaborators of Jenna M. Tabor-Godwin 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 Jenna M. Tabor-Godwin. Jenna M. Tabor-Godwin 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.
Tabor-Godwin, Jenna M., Ginger Tsueng, M. Richard Sayen, Roberta A. Gottlieb, & Ralph Feuer. (2012). The role of autophagy during coxsackievirus infection of neural progenitor and stem cells. Autophagy. 8(6). 938–953. 42 indexed citations
2.
Tabor-Godwin, Jenna M., et al.. (2011). Enterovirus infections of the central nervous system. Virology. 411(2). 288–305. 145 indexed citations
3.
Ruller, Chelsea M., Jenna M. Tabor-Godwin, Scott M. Robinson, et al.. (2011). Neural Stem Cell Depletion and CNS Developmental Defects After Enteroviral Infection. American Journal Of Pathology. 180(3). 1107–1120. 28 indexed citations
4.
Tsueng, Ginger, Jenna M. Tabor-Godwin, Chelsea M. Ruller, et al.. (2011). Coxsackievirus Preferentially Replicates and Induces Cytopathic Effects in Undifferentiated Neural Progenitor Cells. Journal of Virology. 85(12). 5718–5732. 33 indexed citations
5.
Tabor-Godwin, Jenna M., Chelsea M. Ruller, Stephen W. Harkins, et al.. (2010). A Novel Population of Myeloid Cells Responding to Coxsackievirus Infection Assists in the Dissemination of Virus within the Neonatal CNS. Journal of Neuroscience. 30(25). 8676–8691. 66 indexed citations
6.
Cole, Hope A., Jenna M. Tabor-Godwin, & Jeffrey J. Hayes. (2009). Uracil DNA Glycosylase Activity on Nucleosomal DNA Depends on Rotational Orientation of Targets. Journal of Biological Chemistry. 285(4). 2876–2885. 78 indexed citations
7.
Feuer, Ralph, Chelsea M. Ruller, Naili An, et al.. (2009). Viral Persistence and Chronic Immunopathology in the Adult Central Nervous System following Coxsackievirus Infection during the Neonatal Period. Journal of Virology. 83(18). 9356–9369. 71 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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2026