Kimberly A. Hofmeyer

17 total papers · 920 total citations
15 papers, 545 citations indexed

About

Kimberly A. Hofmeyer is a scholar working on Immunology, Infectious Diseases and Oncology. According to data from OpenAlex, Kimberly A. Hofmeyer has authored 15 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Oncology. Recurrent topics in Kimberly A. Hofmeyer's work include SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (4 papers) and T-cell and B-cell Immunology (4 papers). Kimberly A. Hofmeyer is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (4 papers) and T-cell and B-cell Immunology (4 papers). Kimberly A. Hofmeyer collaborates with scholars based in United States, Bangladesh and France. Kimberly A. Hofmeyer's co-authors include Xingxing Zang, Hyungjun Jeon, Jun Sik Lee, Steven C. Almo, Stanley G. Nathenson, Eszter Lázár‐Molnár, Lisa Scandiuzzi, Kaya Ghosh, U.A. Ramagopal and Vladimir Vigdorovich and has published in prestigious journals such as The Journal of Immunology, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Kimberly A. Hofmeyer

14 papers receiving 540 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kimberly A. Hofmeyer 317 253 118 103 61 15 545
Todd Wuest 324 1.0× 146 0.6× 231 2.0× 97 0.9× 97 1.6× 18 610
Bo‐Chin Chiu 394 1.2× 111 0.4× 93 0.8× 40 0.4× 63 1.0× 17 578
Soon Boon Justin Wong 356 1.1× 143 0.6× 76 0.6× 36 0.3× 98 1.6× 18 535
Béatris Mastelic-Gavillet 352 1.1× 132 0.5× 79 0.7× 52 0.5× 132 2.2× 15 510
Ron P. Gladue 326 1.0× 187 0.7× 85 0.7× 29 0.3× 61 1.0× 8 553
Saro Kasparian 236 0.7× 138 0.5× 130 1.1× 82 0.8× 90 1.5× 20 494
Goldman Jm 131 0.4× 91 0.4× 136 1.2× 61 0.6× 46 0.8× 17 485
Gorin Nc 110 0.3× 134 0.5× 81 0.7× 99 1.0× 70 1.1× 31 516
Iman Hanna 249 0.8× 60 0.2× 96 0.8× 125 1.2× 75 1.2× 15 493
Adele Y. Wang 294 0.9× 87 0.3× 97 0.8× 142 1.4× 200 3.3× 11 573

Countries citing papers authored by Kimberly A. Hofmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly A. Hofmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly A. Hofmeyer. 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 Kimberly A. Hofmeyer. The network helps show where Kimberly A. Hofmeyer may publish in the future.

Co-authorship network of co-authors of Kimberly A. Hofmeyer

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

All Works

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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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