William Egan

105 papers receiving 4.6k citations

William Egan's Hit Papers

Vitamin K Dependent Modifications of Glutamic Acid Residues in Prothrombin 1974 · 632 citations
6320+17+34Years since publication200400600

Peers

William Egan
Comparison fields: 5 of 143
  • Microbiology 372
  • Endocrinology 255
  • Organic Chemistry 1.1k
  • Molecular Biology 2.6k
  • Infectious Diseases 481
Replace Sten Hammarström with:
Sten Hammarström Sweden
Markus G. Grütter Switzerland
G. Jung Germany
Jed F. Fisher United States
Garry L. Taylor United Kingdom
Göran Magnusson Sweden
O. Dideberg France
James C. Powers United States
Weng C. Chan United Kingdom
Paul J. Hergenrother United States
William Egan relative to Sten Hammarström Sweden Sten Hammarström's profile →
Citations per field
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Sten Hammarström · 1×
Citations per year

Countries citing papers authored by William Egan

Since Specialization
Citations

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

Fields of papers citing papers by William Egan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vitamin K Dependent Modifications of Glutamic Acid Residues in Prothrombin
Hit paper breakdown →
1974632
2 2002313
3 1990271
4 1984251
5 1990211
6 1992210
7 1979199
8 1971170
9 1991163
10 1985142
11 1993139
12 1977106
13 198286
14 197685
15 199384
16 199275
17 198563
18 198462
19 199462
20 197058

About William Egan

William Egan is a scholar working on Organic Chemistry, Microbiology, Spectroscopy, Molecular Biology and Infectious Diseases, having authored 106 papers that have together received 5.1k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (17 papers), Glycosylation and Glycoproteins Research (16 papers), DNA and Nucleic Acid Chemistry (16 papers), Organophosphorus compounds synthesis (15 papers), Bacterial Infections and Vaccines (14 papers), Protein Structure and Dynamics (12 papers), Pneumonia and Respiratory Infections (10 papers) and Advanced NMR Techniques and Applications (9 papers). The work is most often cited by research in Microbiology (372 citations), Endocrinology (255 citations), Organic Chemistry (1.1k citations), Molecular Biology (2.6k citations) and Infectious Diseases (481 citations). William Egan has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include Gerald Zon, Peter Roepstorff, Johan Stenflo, Per Fernlund, Radhakrishnan P. Iyer, Rachel Schneerson, Judith B. Regan, Serge L. Beaucage, Norman W. Baylor and Paul G. Richman. Their work appears in journals such as Journal of the American Chemical Society, Carbohydrate Research, Biochemistry, Journal of Medicinal Chemistry and Infection and Immunity.

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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