Jeffrey W. Taub

9.9k citations
189 papers · 6.5k indexed · 1 hit paper · h-index 45

Jeffrey W. Taub

183 papers receiving 6.4k citations

Hit Papers

Efficient self-assembly of human papillomavirus type 16 L...5041993202620042015100200300400500

Peers

Jeffrey W. Taub
Comparison fields: 5 of 139
  • Hematology 2.9k
  • Public Health, Environmental and Occupational Health 1.7k
  • Genetics 601
  • Molecular Biology 2.9k
  • Pediatrics, Perinatology and Child Health 806
Replace Peter M. Hoogerbrugge with:
Peter M. Hoogerbrugge Netherlands
Kathleen M. Murphy United States
Willem A. Kamps Netherlands
D. Niethammer Germany
Eiichi Ishii Japan
Steven Lane United Kingdom
Eveline S.J.M. de Bont Netherlands
Amos Toren Israel
Janet Franklin United States
Susan Richards United States
Jeffrey W. Taub relative to Peter M. Hoogerbrugge Netherlands Peter M. Hoogerbrugge's profile →
Citations per field
00.5×2.6×
Peter M. Hoogerbrugge · 1×
Citations per year

Countries citing papers authored by Jeffrey W. Taub

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey W. Taub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey W. Taub. 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 Jeffrey W. Taub. The network helps show where Jeffrey W. Taub may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20246
4 20231
5 20225
6 202215
7 202216
8 20212
9 202127
10 2020143
11 202050
12 202029
13 2019117
14 201916
15 201846
16 20173
17 2016181
18 2012136
19 201035
20 200962

About Jeffrey W. Taub

Jeffrey W. Taub is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 189 papers that have together received 6.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (97 papers), Acute Lymphoblastic Leukemia research (62 papers), Histone Deacetylase Inhibitors Research (36 papers), Childhood Cancer Survivors' Quality of Life (35 papers), Protein Degradation and Inhibitors (26 papers), Epigenetics and DNA Methylation (21 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Cell death mechanisms and regulation (14 papers). The work is most often cited by research in Hematology (2.9k citations), Public Health, Environmental and Occupational Health (1.7k citations) and Genetics (601 citations). Jeffrey W. Taub has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yubin Ge, Larry H. Matherly, Holly Edwards, Yaddanapudi Ravindranath, Hai Lin, Steven Buck, Guan Wang, Richard B.S. Roden, Gary V. Dahl and Matthias Dürst. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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