T.B. Shows

5.6k citations
77 papers · 4.4k indexed · h-index 37

Impact in

Papers in

    • Cell Adhesion Molecules Research 6
    • Glycosylation and Glycoproteins Research 8
    • Biochemical and Molecular Research 5
    • RNA modifications and cancer 5
    • RNA Research and Splicing 5
    • Genomics and Chromatin Dynamics 4

T.B. Shows

77 papers receiving 4.3k citations

Peers

T.B. Shows
Comparison fields: 5 of 113
  • Immunology and Allergy 716
  • Cell Biology 586
  • Molecular Biology 2.3k
  • Immunology 700
  • Hematology 370
Replace M.G. Byers with:
M.G. Byers United States
T.B. Shows United States
David F. Barker United States
Phyllis Ponte United States
Jing Zhou China
Shuan Shian Huang United States
Linda A. Cannizzaro United States
Kei Tashiro Japan
Jean Marie Blanchard France
Erhard Hofer Austria
T.B. Shows relative to M.G. Byers United States M.G. Byers's profile →
Citations per field
00.5×1.5×1.9×
M.G. Byers · 1×
Citations per year

Countries citing papers authored by T.B. Shows

Since Specialization
Citations

This map shows the geographic impact of T.B. Shows'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 T.B. Shows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.B. Shows more than expected).

Fields of papers citing papers by T.B. Shows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.B. Shows. 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 T.B. Shows. The network helps show where T.B. Shows may publish in the future.

Co-authors

The 25 scholars most cited alongside T.B. Shows, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T.B. Shows Line = papers co-authored together T.B. Shows links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199814
2 199747
3 199710
4 199614
5 19959
6 19931
7 199246
8 19924
9 199126
10 1991149
11 199136
12 199056
13 199023
14 199021
15 198872
16 1986129
17 1985163
18 19799
19 19785
20 197619

About T.B. Shows

T.B. Shows is a scholar working on Immunology and Allergy, Molecular Biology, Immunology, Genetics and Genetics, having authored 77 papers that have together received 4.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Genomic variations and chromosomal abnormalities (6 papers), Cell Adhesion Molecules Research (6 papers), Biochemical and Molecular Research (5 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Immunology and Allergy (716 citations), Cell Biology (586 citations), Molecular Biology (2.3k citations), Immunology (700 citations) and Hematology (370 citations). T.B. Shows has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Roger L. Eddy, M.G. Byers, Mary Shannon Byers, Karl Tryggvason, R.L. Eddy, P.J. McAlpine, Riccardo Dalla‐Favera, John J. Krolewski, C. E. Rogler and Alan Y. Sakaguchi. Their work appears in journals such as Cytogenetic and Genome Research, Proceedings of the National Academy of Sciences, Genomics, Journal of Biological Chemistry and Molecular and Cellular Biology.

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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