Fabian Pott

2.3k total citations
7 papers, 107 citations indexed

About

Fabian Pott is a scholar working on Infectious Diseases, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Fabian Pott has authored 7 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Immunology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Fabian Pott's work include interferon and immune responses (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Viral Infections and Vectors (2 papers). Fabian Pott is often cited by papers focused on interferon and immune responses (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Viral Infections and Vectors (2 papers). Fabian Pott collaborates with scholars based in Germany, United States and Switzerland. Fabian Pott's co-authors include Christine Goffinet, Doreen Muth, Marcel A. Müller, Simon Schroeder, Talitha Veith, Christian Drosten, Anja Richter, Daniela Niemeyer, Markus Landthaler and Emanuel Wyler and has published in prestigious journals such as The Journal of Immunology, Cellular and Molecular Life Sciences and Cell Reports.

In The Last Decade

Fabian Pott

6 papers receiving 106 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabian Pott Germany	4	70	38	26	23	17	7	107
Lauren Walker United States	6	50 0.7×	39 1.0×	19 0.7×	45 2.0×	18 1.1×	7	124
Yentli E. Soto Albrecht United States	5	59 0.8×	29 0.8×	38 1.5×	26 1.1×	18 1.1×	7	108
Daryl Geers Netherlands	5	93 1.3×	18 0.5×	6 0.2×	45 2.0×	19 1.1×	15	144
Karla R. Navarro-Fuentes Mexico	4	38 0.5×	14 0.4×	26 1.0×	11 0.5×	35 2.1×	6	90
Wanwisa Dejnirattisai United Kingdom	3	52 0.7×	43 1.1×	42 1.6×	26 1.1×	12 0.7×	3	110
Gurpreet Brar United States	4	33 0.5×	36 0.9×	9 0.3×	26 1.1×	54 3.2×	5	102
Ka Hang Liong Singapore	5	36 0.5×	50 1.3×	34 1.3×	12 0.5×	14 0.8×	5	101
Aminu S. Jahun United Kingdom	5	39 0.6×	115 3.0×	12 0.5×	20 0.9×	37 2.2×	9	154
Christopher Maucourant France	6	37 0.5×	28 0.7×	35 1.3×	13 0.6×	15 0.9×	9	76
Miaomiao Shen China	6	84 1.2×	24 0.6×	88 3.4×	67 2.9×	7 0.4×	9	171

Countries citing papers authored by Fabian Pott

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Pott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Pott

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

All Works

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7 of 7 papers shown

1.

Wyler, Emanuel, Julia M. Adler, Fabian Pott, et al.. (2024). Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease. EBioMedicine. 108. 105312–105312.

2.

Peidli, Stefan, Geraldine Nouailles, Emanuel Wyler, et al.. (2024). Single-cell-resolved interspecies comparison shows a shared inflammatory axis and a dominant neutrophil-endothelial program in severe COVID-19. Cell Reports. 43(6). 114328–114328. 3 indexed citations

3.

Krieg, Sarah, Fabian Pott, Mareike Bütepage, et al.. (2023). Mono-ADP-ribosylation by PARP10 inhibits Chikungunya virus nsP2 proteolytic activity and viral replication. Cellular and Molecular Life Sciences. 80(3). 72–72. 18 indexed citations

4.

Kazmierski, Julia, Carina Elsner, Katinka Döhner, et al.. (2022). A Baseline Cellular Antiviral State Is Maintained by cGAS and Its Most Frequent Naturally Occurring Variant rs610913. The Journal of Immunology. 209(3). 535–547. 1 indexed citations

5.

Pott, Fabian, Richard J. P. Brown, Emanuel Wyler, et al.. (2021). Single-cell analysis of arthritogenic alphavirus-infected human synovial fibroblasts links low abundance of viral RNA to induction of innate immunity and arthralgia-associated gene expression. Emerging Microbes & Infections. 10(1). 2151–2168. 17 indexed citations

6.

Schroeder, Simon, Fabian Pott, Daniela Niemeyer, et al.. (2021). Interferon antagonism by SARS-CoV-2: a functional study using reverse genetics. The Lancet Microbe. 2(5). e210–e218. 54 indexed citations

7.

Franz, Sergej, Fabian Pott, Thomas Zillinger, et al.. (2021). Human IFITM3 restricts chikungunya virus and Mayaro virus infection and is susceptible to virus-mediated counteraction. Life Science Alliance. 4(7). e202000909–e202000909. 14 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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