Allan M. Weissman

21.8k citations
129 papers · 18.0k indexed · 10 hit papers · h-index 65
Topics
Ubiquitin and proteasome pathways (70 papers)Cancer-related Molecular Pathways (27 papers)T-cell and B-cell Immunology (27 papers)

In The Last Decade

Allan M. Weissman

127 papers receiving 17.8k citations

Hit Papers

Themes and variations on ubiquitylation1997202620062016200120001999200020004008001.2k

Peers

Allan M. Weissman
Comparison fields: 5 of 141
  • Molecular Biology 13.4k
  • Oncology 4.2k
  • Cell Biology 3.7k
  • Immunology 3.7k
  • Epidemiology 2.3k
Replace Shigetsugu Hatakeyama with:
Shigetsugu Hatakeyama Japan
Adi Kimchi Israel
Cecile M. Pickart United States
Bart Vanhaesebroeck United Kingdom
Tullia Lindsten United States
Ulf R. Rapp Germany
David Komander United Kingdom
Colin R. Goding United Kingdom
Geoffrey M. Cooper United States
Brian Raught Canada
Allan M. Weissman relative to Shigetsugu Hatakeyama Japan Shigetsugu Hatakeyama's profile →
Citations per field
00.5×1.5×2.2×
Shigetsugu Hatakeyama · 1×
Citations per year

Countries citing papers authored by Allan M. Weissman

Since Specialization
Citations

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

Fields of papers citing papers by Allan M. Weissman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allan M. Weissman. 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 Allan M. Weissman. The network helps show where Allan M. Weissman may publish in the future.

Co-authorship network of co-authors of Allan M. Weissman

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 28
3 44
4
RING-type E3 ligases: Master manipulators of E2 ubiquitin-conjugating enzymes and ubiquitinationbreakdown →
462
5 28
6 246
7 83
8 141
9 11
10 145
11 372
12 263
13 76
14 144
15 1
16 63
17 122
18 114
19 8
20 48

About Allan M. Weissman

Allan M. Weissman is a scholar working on Immunology, Oncology and Cell Biology, having authored 129 papers that have together received 18.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (70 papers), Cancer-related Molecular Pathways (27 papers) and T-cell and B-cell Immunology (27 papers). The work is most often cited by research in Cell Biology (3.7k citations), Molecular Biology (13.4k citations) and Immunology (3.7k citations). Allan M. Weissman has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Jane P. Jensen, Shengyun Fang, Claudio A.P. Joazeiro, Juan S. Bonifacino, Yien Che Tsai, Richard D. Klausner, Meredith B. Metzger, Kevin L. Lorick, Yili Yang and Jonathan D. Ashwell. Their work appears in journals such as Nature, Science and Cell.

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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