Thomas Kaever

702 total citations
9 papers, 451 citations indexed

About

Thomas Kaever is a scholar working on Epidemiology, Molecular Biology and Virology. According to data from OpenAlex, Thomas Kaever has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Virology. Recurrent topics in Thomas Kaever's work include Herpesvirus Infections and Treatments (4 papers), Poxvirus research and outbreaks (4 papers) and Immune Cell Function and Interaction (3 papers). Thomas Kaever is often cited by papers focused on Herpesvirus Infections and Treatments (4 papers), Poxvirus research and outbreaks (4 papers) and Immune Cell Function and Interaction (3 papers). Thomas Kaever collaborates with scholars based in United States, Denmark and Argentina. Thomas Kaever's co-authors include Bjoern Peters, Morten Nielsen, Dirk M. Zajonc, William H. Hildebrand, Curtis McMurtrey, Alessandro Sette, Wilfried Bardet, Thomas Trolle, John Sidney and Shane Crotty and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Virology.

In The Last Decade

Thomas Kaever

9 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Kaever United States	8	323	235	137	109	100	9	451
Anne B. Kristensen Australia	10	203 0.6×	342 1.5×	181 1.3×	165 1.5×	117 1.2×	15	539
Chun-Yen Tsao United States	6	211 0.7×	248 1.1×	85 0.6×	247 2.3×	73 0.7×	7	426
M. Kronenberg United States	7	332 1.0×	315 1.3×	132 1.0×	36 0.3×	132 1.3×	9	585
Michael Kubitz United States	5	362 1.1×	251 1.1×	221 1.6×	198 1.8×	55 0.6×	8	591
Alena Janda United States	8	214 0.7×	181 0.8×	221 1.6×	79 0.7×	84 0.8×	10	421
Andrzej Wierzbicki United States	14	174 0.5×	282 1.2×	49 0.4×	205 1.9×	87 0.9×	17	505
Christina Sylvester‐Hvid Denmark	6	330 1.0×	375 1.6×	100 0.7×	51 0.5×	70 0.7×	7	510
Ashraf S. Yousif United States	9	157 0.5×	146 0.6×	74 0.5×	45 0.4×	67 0.7×	21	351
Anne Zhao Australia	7	230 0.7×	376 1.6×	44 0.3×	235 2.2×	176 1.8×	9	612
Thomas Vollbrecht United States	11	125 0.4×	255 1.1×	57 0.4×	175 1.6×	55 0.6×	20	423

Countries citing papers authored by Thomas Kaever

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Kaever

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Kaever

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

All Works

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9 of 9 papers shown

Meng, Xiangzhi, Thomas Kaever, Bo Yan, et al.. (2018). Characterization of murine antibody responses to vaccinia virus envelope protein A14 reveals an immunodominant antigen lacking of effective neutralization targets. Virology. 518. 284–292. 4 indexed citations

Remesh, Soumya G., Massimo Andreatta, Ying Ge, et al.. (2017). Unconventional Peptide Presentation by Major Histocompatibility Complex (MHC) Class I Allele HLA-A*02:01. Journal of Biological Chemistry. 292(13). 5262–5270. 40 indexed citations

Andreatta, Massimo, et al.. (2017). Machine learning reveals a non‐canonical mode of peptide binding to MHC class II molecules. Immunology. 152(2). 255–264. 20 indexed citations

Trolle, Thomas, Curtis McMurtrey, John Sidney, et al.. (2016). The Length Distribution of Class I–Restricted T Cell Epitopes Is Determined by Both Peptide Supply and MHC Allele–Specific Binding Preference. The Journal of Immunology. 196(4). 1480–1487. 151 indexed citations

McMurtrey, Curtis, Thomas Trolle, Soumya G. Remesh, et al.. (2016). Toxoplasma gondii peptide ligands open the gate of the HLA class I binding groove. eLife. 5. 64 indexed citations

Kaever, Thomas, Michael H. Matho, Xiangzhi Meng, et al.. (2016). Linear Epitopes in Vaccinia Virus A27 Are Targets of Protective Antibodies Induced by Vaccination against Smallpox. Journal of Virology. 90(9). 4334–4345. 28 indexed citations

Matho, Michael H., Xiangzhi Meng, Mohammed Rafii‐El‐Idrissi Benhnia, et al.. (2015). Structural and Functional Characterization of Anti-A33 Antibodies Reveal a Potent Cross-Species Orthopoxviruses Neutralizer. PLoS Pathogens. 11(9). e1005148–e1005148. 45 indexed citations

Sela‐Culang, Inbal, Mohammed Rafii‐El‐Idrissi Benhnia, Michael H. Matho, et al.. (2014). Using a Combined Computational-Experimental Approach to Predict Antibody-Specific B Cell Epitopes. Structure. 22(4). 646–657. 60 indexed citations

Kaever, Thomas, Xiangzhi Meng, Michael H. Matho, et al.. (2014). Potent Neutralization of Vaccinia Virus by Divergent Murine Antibodies Targeting a Common Site of Vulnerability in L1 Protein. Journal of Virology. 88(19). 11339–11355. 39 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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