Robert C. Mettelman

1.9k total citations · 1 hit paper
14 papers, 640 citations indexed

About

Robert C. Mettelman is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Robert C. Mettelman has authored 14 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Robert C. Mettelman's work include SARS-CoV-2 and COVID-19 Research (6 papers), interferon and immune responses (4 papers) and Animal Virus Infections Studies (4 papers). Robert C. Mettelman is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), interferon and immune responses (4 papers) and Animal Virus Infections Studies (4 papers). Robert C. Mettelman collaborates with scholars based in United States, Germany and Australia. Robert C. Mettelman's co-authors include Paul G. Thomas, Susan C. Baker, Amornrat O’Brien, E. Kaitlynn Allen, Anna M. Mielech, Xufang Deng, Matthew Hackbart, Guanghui Yi, C. Cheng Kao and Andrew D. Mesecar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Nature Immunology.

In The Last Decade

Robert C. Mettelman

14 papers receiving 632 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.

Mucosal immune responses to infection and vaccination in the respiratory tract

2022 141 citations Robert C. Mettelman, E. Kaitlynn Allen et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert C. Mettelman United States	11	388	185	147	106	93	14	640
Hannah Limburg Germany	4	570 1.5×	131 0.7×	174 1.2×	119 1.1×	55 0.6×	6	762
Dia C. Beachboard United States	11	295 0.8×	168 0.9×	182 1.2×	216 2.0×	74 0.8×	15	702
Amornrat O’Brien United States	12	495 1.3×	150 0.8×	165 1.1×	77 0.7×	186 2.0×	20	731
Cornelius Rohde Germany	7	582 1.5×	94 0.5×	165 1.1×	106 1.0×	69 0.7×	13	740
Cheila Rocha Germany	13	725 1.9×	114 0.6×	221 1.5×	89 0.8×	77 0.8×	27	943
Bridget S. Banach United States	5	419 1.1×	280 1.5×	173 1.2×	70 0.7×	131 1.4×	7	630
Matthew Hackbart United States	7	418 1.1×	124 0.7×	161 1.1×	32 0.3×	112 1.2×	9	589
Stefan van Nieuwkoop Netherlands	10	790 2.0×	131 0.7×	172 1.2×	258 2.4×	160 1.7×	20	1.1k
Joseph P. Klaus United States	5	645 1.7×	68 0.4×	195 1.3×	64 0.6×	169 1.8×	6	828

Countries citing papers authored by Robert C. Mettelman

Since Specialization

Citations

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

Fields of papers citing papers by Robert C. Mettelman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Mettelman. 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 Robert C. Mettelman. The network helps show where Robert C. Mettelman may publish in the future.

Co-authorship network of co-authors of Robert C. Mettelman

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

All Works

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14 of 14 papers shown

Schattgen, Stefan, Jackson S. Turner, Mohamed A. Ghonim, et al.. (2024). Influenza vaccination stimulates maturation of the human T follicular helper cell response. Nature Immunology. 25(9). 1742–1753. 10 indexed citations

Pogorelyy, Mikhail V., Elisa Rosati, Anastasia A. Minervina, et al.. (2022). Resolving SARS-CoV-2 CD4+ T cell specificity via reverse epitope discovery. Cell Reports Medicine. 3(8). 100697–100697. 24 indexed citations

Mettelman, Robert C., E. Kaitlynn Allen, & Paul G. Thomas. (2022). Mucosal immune responses to infection and vaccination in the respiratory tract. Immunity. 55(5). 749–780. 141 indexed citations breakdown →

Zhang, Wuji, Łukasz Kedzierski, Brendon Y. Chua, et al.. (2022). Robust and prototypical immune responses towards COVID-19 BNT162b2 vaccines in Indigenous people. The Journal of Immunology. 208(Supplement_1). 65.13–65.13. 1 indexed citations

Mettelman, Robert C. & Paul G. Thomas. (2020). Human Susceptibility to Influenza Infection and Severe Disease. Cold Spring Harbor Perspectives in Medicine. 11(5). a038711–a038711. 14 indexed citations

Deng, Xufang, Anna M. Mielech, Matthew Hackbart, et al.. (2020). Structure-Guided Mutagenesis Alters Deubiquitinating Activity and Attenuates Pathogenesis of a Murine Coronavirus. Journal of Virology. 94(11). 21 indexed citations

Mettelman, Robert C., Amornrat O’Brien, Gary R. Whittaker, & Susan C. Baker. (2019). Generating and evaluating type I interferon receptor-deficient and feline TMPRSS2-expressing cells for propagating serotype I feline infectious peritonitis virus. Virology. 537. 226–236. 7 indexed citations

Deng, Xufang, Robert C. Mettelman, Amornrat O’Brien, et al.. (2019). Analysis of Coronavirus Temperature-Sensitive Mutants Reveals an Interplay between the Macrodomain and Papain-Like Protease Impacting Replication and Pathogenesis. Journal of Virology. 93(12). 27 indexed citations

Niemeyer, Daniela, Kirstin Mösbauer, Andrea Sieberg, et al.. (2018). The papain-like protease determines a virulence trait that varies among members of the SARS-coronavirus species. PLoS Pathogens. 14(9). e1007296–e1007296. 54 indexed citations

10.

O’Brien, Amornrat, et al.. (2018). Characterizing replication kinetics and plaque production of type I feline infectious peritonitis virus in three feline cell lines. Virology. 525. 1–9. 14 indexed citations

11.

Báez-Santos, Yahira M., et al.. (2017). X-ray Structure and Enzymatic Activity Profile of a Core Papain-like Protease of MERS Coronavirus with utility for structure-based drug design. Scientific Reports. 7(1). 40292–40292. 34 indexed citations

12.

Deng, Xufang, Matthew Hackbart, Robert C. Mettelman, et al.. (2017). Coronavirus nonstructural protein 15 mediates evasion of dsRNA sensors and limits apoptosis in macrophages. Proceedings of the National Academy of Sciences. 114(21). E4251–E4260. 266 indexed citations

13.

Mettelman, Robert C., et al.. (2015). Use of Centers for Disease Control and Prevention Gravid Trap in Catch Basins: Proof-Of-Concept Trials. Journal of the American Mosquito Control Association. 31(2). 196–199. 2 indexed citations

14.

Sterkel, Alana, Robert C. Mettelman, Marcel Wüthrich, & Bruce S. Klein. (2015). The Unappreciated Intracellular Lifestyle of Blastomyces dermatitidis. The Journal of Immunology. 194(4). 1796–1805. 25 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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