Eric J. Duval

1.8k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Eric J. Duval is a scholar working on Infectious Diseases, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eric J. Duval has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Neurology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eric J. Duval's work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Long-Term Effects of COVID-19 (3 papers). Eric J. Duval is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Long-Term Effects of COVID-19 (3 papers). Eric J. Duval collaborates with scholars based in United States, Switzerland and France. Eric J. Duval's co-authors include Sanjay Mukhopadhyay, Lisa M. Barton, Edana Stroberg, Subha Ghosh, Mohamad Raad, Sana Chams, Inaya Hajj Hussein, Ali Shams, Nour Chams and Dinesh Pradhan and has published in prestigious journals such as Journal of Virology, Journal of Medicinal Chemistry and American Journal of Clinical Pathology.

In The Last Decade

Eric J. Duval

10 papers receiving 1.1k citations

Hit Papers

COVID-19 Autopsies, Oklahoma, USA 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Duval United States 7 690 334 196 144 126 10 1.1k
Lisa M. Barton United States 6 690 1.0× 334 1.0× 192 1.0× 119 0.8× 122 1.0× 8 1.0k
Edana Stroberg United States 8 690 1.0× 395 1.2× 198 1.0× 129 0.9× 124 1.0× 13 1.1k
Guqin Zhang China 13 961 1.4× 341 1.0× 226 1.2× 158 1.1× 100 0.8× 27 1.4k
Qibin Song China 12 822 1.2× 418 1.3× 225 1.1× 97 0.7× 132 1.0× 26 1.2k
Tian Huang China 7 657 1.0× 394 1.2× 260 1.3× 70 0.5× 101 0.8× 9 1.1k
Chuanjun Xu China 13 822 1.2× 226 0.7× 176 0.9× 145 1.0× 196 1.6× 32 1.4k
Yan Xiong China 17 772 1.1× 409 1.2× 372 1.9× 230 1.6× 106 0.8× 74 1.6k

Countries citing papers authored by Eric J. Duval

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Duval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Duval. 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 Eric J. Duval. The network helps show where Eric J. Duval may publish in the future.

Co-authorship network of co-authors of Eric J. Duval

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

All Works

10 of 10 papers shown
1.
Undi, Ram Babu, Jason L. Larabee, Adrian Filiberti, et al.. (2022). Targeting Doublecortin-Like Kinase 1 (DCLK1)-Regulated SARS-CoV-2 Pathogenesis in COVID-19. Journal of Virology. 96(17). e0096722–e0096722. 5 indexed citations
2.
Rakheja, Dinesh, Charles F. Timmons, Sara Miller, et al.. (2021). SARS-CoV-2 Immunohistochemistry In Placenta. International Journal of Surgical Pathology. 30(4). 393–396. 6 indexed citations
3.
Joseph, Chitra, Alison E. John, Louise Organ, et al.. (2021). S31 The novel coronavirus SARS-CoV-2 binds RGD integrins and upregulates avb3 integrins in Covid-19 infected lungs. 9 indexed citations
4.
Corredor, Germán, Paula Toro, Kaustav Bera, et al.. (2021). Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings. Journal of Medical Imaging. 8(S1). 17501–17501. 3 indexed citations
5.
Stroberg, Edana, Lisa M. Barton, Eric J. Duval, et al.. (2020). Detection of SARS-CoV-2 in formalin-fixed paraffin-embedded tissue sections using commercially available reagents. Laboratory Investigation. 100(11). 1485–1489. 68 indexed citations
6.
Chams, Nour, Sana Chams, Ali Shams, et al.. (2020). COVID-19: A Multidisciplinary Review. Frontiers in Public Health. 8. 383–383. 206 indexed citations
7.
Mohanty, Sambit K., Sanjay Mukhopadhyay, Shivani Sharma, et al.. (2020). Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and coronavirus disease 19 (COVID-19) – anatomic pathology perspective on current knowledge. Diagnostic Pathology. 15(1). 103–103. 119 indexed citations
8.
Barton, Lisa M., Eric J. Duval, Edana Stroberg, Subha Ghosh, & Sanjay Mukhopadhyay. (2020). COVID-19 Autopsies, Oklahoma, USA. American Journal of Clinical Pathology. 153(6). 725–733. 602 indexed citations breakdown →
9.
Nique, F., Christophe Peixoto, Jean-Michel Lefrançois, et al.. (2012). Discovery of Diarylhydantoins as New Selective Androgen Receptor Modulators. Journal of Medicinal Chemistry. 55(19). 8225–8235. 62 indexed citations
10.
Govaerts, Sten, Sandy El Helou, Eric J. Duval, & Denis Gillet. (2011). A Federated Search and Social Recommendation Widget. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 8 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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