William K. Hagmann

7.2k citations
78 papers · 5.4k indexed · 1 hit paper · h-index 25
Topics
Peptidase Inhibition and Analysis (25 papers)Cell Adhesion Molecules Research (18 papers)Protease and Inhibitor Mechanisms (14 papers)
Partner nations
United States

In The Last Decade

William K. Hagmann

78 papers receiving 5.2k citations

Hit Papers

The Many Roles for Fluorine in Medicinal Chemistry2008202620142020200810002.0k3.0k

Peers

William K. Hagmann
Comparison fields: 5 of 119
  • Organic Chemistry 3.2k
  • Pharmaceutical Science 2.5k
  • Molecular Biology 1.4k
  • Inorganic Chemistry 864
  • Oncology 652
Replace Matteo Zanda with:
Matteo Zanda Italy
Günter Haufe Germany
Hiroaki Ohno Japan
Nicholas J. Lawrence United States
Cesare Gennari Italy
Alastair D. G. Lawson United Kingdom
S. Chandrasekhar India
David Hesk United States
William R. Ewing United States
Floris L. van Delft Netherlands
William K. Hagmann relative to Matteo Zanda Italy Matteo Zanda's profile →
Citations per field
00.5×1.5×2.5×
Matteo Zanda · 1×
Citations per year

Countries citing papers authored by William K. Hagmann

Since Specialization
Citations

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

Fields of papers citing papers by William K. Hagmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William K. Hagmann. 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 William K. Hagmann. The network helps show where William K. Hagmann may publish in the future.

Co-authorship network of co-authors of William K. Hagmann

This figure shows the co-authorship network connecting the top 25 collaborators of William K. Hagmann. A scholar is included among the top collaborators of William K. Hagmann 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 William K. Hagmann. William K. Hagmann 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 10
2 2
3 6
4 7
5 15
6 8
7 27
8 17
9 11
10 15
11 14
12 36
13 53
14 64
15 44
16 150
17 71
18 15
19 43
20 72

About William K. Hagmann

William K. Hagmann is a scholar working on Immunology and Allergy, Cancer Research and Oncology, having authored 78 papers that have together received 5.4k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (25 papers), Cell Adhesion Molecules Research (18 papers) and Protease and Inhibitor Mechanisms (14 papers). The work is most often cited by research in Pharmaceutical Science (2.5k citations), Organic Chemistry (3.2k citations) and Inorganic Chemistry (864 citations). William K. Hagmann has collaborated with scholars based in United States. Frequent co-authors include Alice I. Marcy, Jeffrey D. Hermes, Malcolm MacCoss, Craig K. Esser, James P. Springer, Ginger X. Yang, Richard A. Mumford, Thomas J. Lanza, Arthur G. Schultz and Linus S. Lin. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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