Theodore L. Garber

729 total citations
8 papers, 602 citations indexed

About

Theodore L. Garber is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Theodore L. Garber has authored 8 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Virology. Recurrent topics in Theodore L. Garber's work include T-cell and B-cell Immunology (5 papers), Immune Response and Inflammation (4 papers) and Immune Cell Function and Interaction (3 papers). Theodore L. Garber is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Response and Inflammation (4 papers) and Immune Cell Function and Interaction (3 papers). Theodore L. Garber collaborates with scholars based in United States, Netherlands and Italy. Theodore L. Garber's co-authors include David I. Watkins, Robert W. Warren, Sean B. Carroll, Jennifer K. Grenier, Paul M. Whitington, Steve McAdam, Jonathan E. Boyson, Ronald E. Bontrop, A. Hughes and Edgar L. Milford and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Theodore L. Garber

8 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theodore L. Garber United States 8 383 154 120 51 47 8 602
Flávio Canavez Brazil 16 462 1.2× 187 1.2× 171 1.4× 20 0.4× 42 0.9× 32 1.0k
Austin L. Hughes United States 9 205 0.5× 327 2.1× 153 1.3× 17 0.3× 32 0.7× 10 683
Luis F. Cadavid Colombia 15 602 1.6× 159 1.0× 57 0.5× 99 1.9× 31 0.7× 36 903
Leah R. Sabin United States 16 360 0.9× 897 5.8× 82 0.7× 14 0.3× 52 1.1× 20 1.4k
Bárbara Domingues Bitarello Brazil 10 159 0.4× 221 1.4× 297 2.5× 9 0.2× 35 0.7× 14 557
G. Darai Germany 10 129 0.3× 147 1.0× 144 1.2× 193 3.8× 47 1.0× 20 587
B. H. van Leeuwen Australia 14 70 0.2× 91 0.6× 92 0.8× 41 0.8× 50 1.1× 22 432
B L Frazier United States 9 178 0.5× 318 2.1× 584 4.9× 9 0.2× 20 0.4× 11 1.0k
Pierre Luisi Spain 14 145 0.4× 239 1.6× 461 3.8× 9 0.2× 50 1.1× 20 818
Peter Heger Germany 15 91 0.2× 642 4.2× 164 1.4× 56 1.1× 43 0.9× 18 818

Countries citing papers authored by Theodore L. Garber

Since Specialization
Citations

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

Fields of papers citing papers by Theodore L. Garber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theodore L. Garber. 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 Theodore L. Garber. The network helps show where Theodore L. Garber may publish in the future.

Co-authorship network of co-authors of Theodore L. Garber

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

All Works

8 of 8 papers shown
1.
Grenier, Jennifer K., Theodore L. Garber, Robert W. Warren, Paul M. Whitington, & Sean B. Carroll. (1997). Evolution of the entire arthropod Hox gene set predated the origin and radiation of the onychophoran/arthropod clade. Current Biology. 7(8). 547–553. 145 indexed citations
2.
Garber, Theodore L., Steve McAdam, Lesley M. Butler, et al.. (1996). HLA‐B alleles of the Navajo: no evidence for rapid evolution in the Nadene. Tissue Antigens. 47(2). 143–146. 15 indexed citations
3.
McAdam, Steve, Jonathan E. Boyson, Theodore L. Garber, et al.. (1995). Chimpanzee MHC class I A locus alleles are related to only one of the six families of human A locus alleles.. The Journal of Immunology. 154(12). 6421–6429. 52 indexed citations
4.
Garber, Theodore L., Lesley M. Butler, Elizabeth Trachtenberg, et al.. (1995). HLA-B alleles of the Cayapa of Ecuador: new B39 and B15 alleles. Immunogenetics. 42(1). 19–27. 40 indexed citations
5.
McAdam, Steve, Jonathan E. Boyson, Theodore L. Garber, et al.. (1994). A uniquely high level of recombination at the HLA-B locus.. Proceedings of the National Academy of Sciences. 91(13). 5893–5897. 90 indexed citations
6.
Watkins, David I., Stephen N. McAdam, Xiaomin Liu, et al.. (1992). New recombinant HLA-B alleles in a tribe of South American Amerindians indicate rapid evolution of MHC class I loci. Nature. 357(6376). 329–333. 220 indexed citations
7.
Templeton, J. W., et al.. (1987). Expression and genetic segregation of parental BoLA serotypes in bovine embryos. Animal Genetics. 18(4). 317–322. 26 indexed citations
8.
Templeton, J. W., et al.. (1986). Genetic control of serum neutralizing-antibody response to rabies vaccination and survival after a rabies challenge infection in mice. Journal of Virology. 59(1). 98–102. 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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