Brian T. Wilhelm

4.4k citations
54 papers · 3.2k indexed · 1 hit paper · h-index 26
  • Hematology top 2%
    • Acute Myeloid Leukemia Research 15
    • Genomics and Chromatin Dynamics 12
    • Epigenetics and DNA Methylation 9
    • RNA Research and Splicing 8
    • Protein Degradation and Inhibitors 7
    • RNA modifications and cancer 7
  • Immunology top 5%
    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 10
  • Genetics top 10%

Brian T. Wilhelm

53 papers receiving 3.2k citations

Hit Papers

Dynamic repertoire of a eukaryotic transcriptome surveyed...7602008202620142020250500750

Peers

Brian T. Wilhelm
Comparison fields: 5 of 116
  • Hematology 373
  • Molecular Biology 2.3k
  • Immunology 645
  • Cancer Research 431
  • Genetics 263
Replace Melissa L. Holmes with:
Melissa L. Holmes Australia
Kate L. Jeffrey United States
Dariusz Przybylski United States
Saiful Islam United States
Scott A. Ness United States
Simon J. McGowan United Kingdom
Anthony G. Uren United Kingdom
Thérèse Commes France
Sarah Kummerfeld Australia
John Smith United Kingdom
Brian T. Wilhelm relative to Melissa L. Holmes Australia Melissa L. Holmes's profile →
Citations per field
00.5×1.7×
Melissa L. Holmes · 1×
Citations per year

Countries citing papers authored by Brian T. Wilhelm

Since Specialization
Citations

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

Fields of papers citing papers by Brian T. Wilhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202018
2 202012
3 201922
4 201910
5 201712
6 20161
7 20153
8 201587
9 201363
10 201256
11 2012201
12 201135
13 200938
14 200648
15 200319
16 200346
17 200320
18 2003256
19 200265
20 200118

About Brian T. Wilhelm

Brian T. Wilhelm is a scholar working on Hematology, Immunology and Molecular Biology, having authored 54 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Immune Cell Function and Interaction (12 papers), Genomics and Chromatin Dynamics (12 papers), T-cell and B-cell Immunology (10 papers), Epigenetics and DNA Methylation (9 papers), RNA Research and Splicing (8 papers), Protein Degradation and Inhibitors (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Hematology (373 citations), Molecular Biology (2.3k citations) and Immunology (645 citations). Brian T. Wilhelm has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Josette‐Renée Landry, Dixie L. Mager, Jürg Bähler, Samuel Marguerat, Ian Goodhead, Stephen Watt, Falk Schubert, Christopher J. Penkett, Jane Rogers and Valerie Wood.

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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