Sean Proll

10.0k total citations · 3 hit papers
82 papers, 7.2k citations indexed

About

Sean Proll is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Sean Proll has authored 82 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 27 papers in Immunology and 26 papers in Molecular Biology. Recurrent topics in Sean Proll's work include interferon and immune responses (19 papers), Influenza Virus Research Studies (18 papers) and Reproductive tract infections research (18 papers). Sean Proll is often cited by papers focused on interferon and immune responses (19 papers), Influenza Virus Research Studies (18 papers) and Reproductive tract infections research (18 papers). Sean Proll collaborates with scholars based in United States, South Africa and Japan. Sean Proll's co-authors include Michael G. Katze, Mary E. Brunkow, Bryan Paeper, Marcus J. Korth, Matthew J. Thomas, Terrence M. Tumpey, Mark W. Appleby, Fred Ramsdell, F. Dagna Bricarelli and Jean‐Laurent Casanova and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Sean Proll

82 papers receiving 7.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

X-linked neonatal diabetes mellitus, enteropathy and endocrinopathy syndrome is the human equivalent of mouse scurfy

2001 1.4k citations Sean Proll et al. profile →
Bone Dysplasia Sclerosteosis Results from Loss of the SOST Gene Product, a Novel Cystine Knot–Containing Protein

2001 751 citations Sean Proll et al. profile →
Temporal Proteome and Lipidome Profiles Reveal Hepatitis C Virus-Associated Reprogramming of Hepatocellular Metabolism and Bioenergetics

2010 331 citations Deborah L. Diamond, Jon Jacobs et al. PLoS Pathogens profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sean Proll United States	38	3.1k	2.4k	2.2k	1.1k	835	82	7.2k
Robert A. Colbert United States	46	4.6k 1.5×	2.7k 1.2×	757 0.3×	643 0.6×	513 0.6×	117	8.8k
Alexander Steinkasserer Germany	47	4.5k 1.4×	2.2k 0.9×	1.2k 0.5×	720 0.6×	621 0.7×	172	7.6k
Julian Symons United Kingdom	41	2.5k 0.8×	1.3k 0.5×	2.9k 1.3×	1.3k 1.1×	872 1.0×	102	7.4k
Franck J. Barrat United States	41	7.8k 2.5×	2.0k 0.9×	1.1k 0.5×	558 0.5×	796 1.0×	66	11.0k
K Yamanishi Japan	47	1.9k 0.6×	1.5k 0.6×	3.8k 1.7×	1.5k 1.4×	602 0.7×	301	8.6k
Andrea Gambotto United States	46	2.9k 0.9×	2.3k 1.0×	1.1k 0.5×	1.1k 1.0×	1.3k 1.6×	115	6.3k
Mario Milco D’Elios Italy	51	4.2k 1.4×	1.3k 0.6×	1.5k 0.7×	968 0.9×	495 0.6×	192	8.7k
Esther C. de Jong Netherlands	49	5.8k 1.9×	1.8k 0.8×	958 0.4×	700 0.6×	482 0.6×	111	8.9k
Thomas J. Waldschmidt United States	46	7.3k 2.3×	2.5k 1.1×	1.3k 0.6×	599 0.5×	672 0.8×	113	10.7k
Rita Carsetti Italy	44	4.5k 1.4×	1.5k 0.6×	1.7k 0.8×	1.0k 0.9×	709 0.8×	165	8.3k

Countries citing papers authored by Sean Proll

Since Specialization

Citations

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

Fields of papers citing papers by Sean Proll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Proll

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yu, Bo, Congzhou Liu, Sean Proll, et al.. (2024). Identification of fallopian tube microbiota and its association with ovarian cancer. eLife. 12. 3 indexed citations

2.

Munch, Matthew M, et al.. (2024). Gardnerella Species and Their Association With Bacterial Vaginosis. The Journal of Infectious Diseases. 230(1). e171–e181. 18 indexed citations

3.

Murphy, Kerry, Sujatha Srinivasan, Tao Wang, et al.. (2023). IgA coating of vaginal bacteria is reduced in the setting of bacterial vaginosis (BV) and preferentially targets BV-associated species. Infection and Immunity. 92(1). e0037323–e0037323. 7 indexed citations

4.

Yu, Bo, Congzhou Liu, Sean Proll, et al.. (2023). Identification of fallopian tube microbiota and its association with ovarian cancer. eLife. 12. 4 indexed citations

5.

Srinivasan, Sujatha, Samuel Purvine, Tina L. Fiedler, et al.. (2023). Optimizing metaproteomics database construction: lessons from a study of the vaginal microbiome. mSystems. 8(4). e0067822–e0067822. 5 indexed citations

6.

Mitchell, Caroline M., Michael C. Wu, Sean Proll, et al.. (2021). Association between postmenopausal vulvovaginal discomfort, vaginal microbiota, and mucosal inflammation. American Journal of Obstetrics and Gynecology. 225(2). 159.e1–159.e15. 32 indexed citations

7.

Mitchell, Caroline M., Sujatha Srinivasan, Susan D. Reed, et al.. (2020). Bacterial Communities Associated With Abnormal Nugent Score in Postmenopausal Versus Premenopausal Women. The Journal of Infectious Diseases. 223(12). 2048–2052. 12 indexed citations

8.

Bedard, Kristin, Sean Proll, Yueh–Ming Loo, et al.. (2012). Isoflavone Agonists of IRF-3 Dependent Signaling Have Antiviral Activity against RNA Viruses. Journal of Virology. 86(13). 7334–7344. 48 indexed citations

9.

Navare, Arti, Pavel Sova, David E. Purdy, et al.. (2012). Quantitative proteomic analysis of HIV-1 infected CD4+ T cells reveals an early host response in important biological pathways: Protein synthesis, cell proliferation, and T-cell activation. Virology. 429(1). 37–46. 38 indexed citations

10.

Rasmussen, Angela L., Nicolas Tchitchek, Alexei L. Krasnoselsky, et al.. (2012). Early transcriptional programming links progression to hepatitis C virus–induced severe liver disease in transplant patients. Hepatology. 56(1). 17–27. 11 indexed citations

11.

Peng, Xinxia, Lisa E. Gralinski, Christopher D. Armour, et al.. (2010). Unique Signatures of Long Noncoding RNA Expression in Response to Virus Infection and Altered Innate Immune Signaling. mBio. 1(5). 214 indexed citations

12.

Cillóniz, Cristian, Kyoko Shinya, Xinxia Peng, et al.. (2009). Lethal Influenza Virus Infection in Macaques Is Associated with Early Dysregulation of Inflammatory Related Genes. PLoS Pathogens. 5(10). e1000604–e1000604. 181 indexed citations

13.

Rockx, Barry, Tracey Baas, Gregory A. Zornetzer, et al.. (2009). Early Upregulation of Acute Respiratory Distress Syndrome-Associated Cytokines Promotes Lethal Disease in an Aged-Mouse Model of Severe Acute Respiratory Syndrome Coronavirus Infection. Journal of Virology. 83(14). 7062–7074. 137 indexed citations

14.

Rockx, Barry, Tracey Baas, Gregory A. Zornetzer, et al.. (2009). Early Upregulation of Acute Respiratory Distress Syndrome-Associated Cytokines Promotes Lethal Disease in an Aged-Mouse Model of Severe Acute Respiratory Syndrome Coronavirus Infection. Journal of Virology. 83(17). 9022–9022. 4 indexed citations

15.

Favre, David, Sharon Lederer, Bittoo Kanwar, et al.. (2009). Critical Loss of the Balance between Th17 and T Regulatory Cell Populations in Pathogenic SIV Infection. PLoS Pathogens. 5(2). e1000295–e1000295. 307 indexed citations

16.

Baas, Tracey, Cleo Baskin, Deborah L. Diamond, et al.. (2006). Integrated Molecular Signature of Disease: Analysis of Influenza Virus-Infected Macaques through Functional Genomics and Proteomics. Journal of Virology. 80(21). 10813–10828. 99 indexed citations

17.

Walters, Kathie‐Anne, M. W. Smith, Sampa Pal, et al.. (2006). Identification of a specific gene expression pattern associated with HCV-induced pathogenesis in HCV- and HCV/HIV-infected individuals. Virology. 350(2). 453–464. 20 indexed citations

18.

Magness, Charles L., Matthew J. Thomas, Marcus J. Korth, et al.. (2005). Analysis of the Macaca mulatta transcriptome and the sequence divergence between Macaca and human. Genome biology. 6(7). R60–R60. 78 indexed citations

19.

Proll, Sean, Gerhard Dobler, Martin Pfeffer, et al.. (1999). Persistierende Arthralgien bei Ross-River-Virus-Erkrankung nach Ozeanien-Reise. DMW - Deutsche Medizinische Wochenschrift. 124(24). 759–762. 15 indexed citations

20.

Jelı́nek, Tomáš, Sean Proll, G. Kabagambe, et al.. (1996). Geographic Differences in the Sensitivity of a Polymerase Chain Reaction for the Detection of Plasmodium falciparum Infection. American Journal of Tropical Medicine and Hygiene. 55(6). 647–651. 30 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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