S E Bear

1.5k citations
30 papers · 1.3k · h-index 21

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Genetics top 5%
    • Blood disorders and treatments
    • Virus-based gene therapy research

Papers in

    • T-cell and Retrovirus Studies 13
    • Immune Cell Function and Interaction 6
    • Toxin Mechanisms and Immunotoxins 4
    • Galectins and Cancer Biology 2
    • RNA and protein synthesis mechanisms 6

S E Bear

30 papers receiving 1.2k citations

Peers

S E Bear
Comparison fields: 5 of 75
  • Immunology 478
  • Genetics 381
  • Cancer Research 180
  • Hematology 117
  • Molecular Biology 689
Replace H Beug with:
H Beug United States
Ildikó Győry Germany
Nanette Mittereder United States
R J Watson United Kingdom
C. Lagrou France
Ulrich Krawinkel Germany
Wesley A. Dunnick United States
Taku Naito Japan
K L Cepek United States
Eiichi Soeda Japan
S E Bear relative to H Beug United States H Beug's profile →
Citations per field
00.5×5.5×
H Beug · 1×
Citations per year

Countries citing papers authored by S E Bear

Since Specialization
Citations

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

Fields of papers citing papers by S E Bear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S E Bear. 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 S E Bear. The network helps show where S E Bear may publish in the future.

Co-authors

The 25 scholars most cited alongside S E Bear, 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 S E Bear Line = papers co-authored together S E Bear links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993175
2 1993141
3 1998104
4 200896
5 200785
6 198471
7 199357
8 199857
9 200347
10 199042
11 199342
12 198939
13 201233
14 199931
15 199130
16 198928
17 199126
18 199323
19 199422
20 197322

About S E Bear

S E Bear is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (13 papers), Virus-based gene therapy research (8 papers), Immune Cell Function and Interaction (6 papers), RNA and protein synthesis mechanisms (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Peptidase Inhibition and Analysis (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (478 citations), Genetics (381 citations), Cancer Research (180 citations), Hematology (117 citations) and Molecular Biology (689 citations). S E Bear has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Philip N. Tsichlis, Christos Patriotis, H. Leighton Grimes, C. Blake Gilks, Antonios M. Makris, P N Tsichlis, Donald L. Court, David I. Friedman, Pedro A. Lazo and P N Tsichlis. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, The Journal of Immunology and Transplantation.

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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