Ann E. Cleves

37 papers receiving 2.2k citations

Peers

Ann E. Cleves
Comparison fields: 5 of 79
  • Biochemistry 514
  • Cell Biology 915
  • Computational Theory and Mathematics 440
  • Molecular Biology 857
  • Immunology 57
Replace Jan Willem Thuring with:
Jan Willem Thuring Belgium
Christoph F. Kurat Canada
Helena Käck Sweden
Fusheng Guo China
Johan Gotthardt Olsen Denmark
M. Marek Nagiec United States
Alisa Kastan Kabcenell United States
Meredith L. Jenkins Canada
Nicholas G. Rutherford United Kingdom
Anthony C. Bishop United States
Ann E. Cleves relative to Jan Willem Thuring Belgium Jan Willem Thuring's profile →
Citations per field
00.5×2×4×6×8×9.3×
Jan Willem Thuring · 1×
Citations per year

Countries citing papers authored by Ann E. Cleves

Since Specialization
Citations

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

Fields of papers citing papers by Ann E. Cleves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann E. Cleves. 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 Ann E. Cleves. The network helps show where Ann E. Cleves may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990491
2 1991324
3 1989216
4 1996188
5 1991146
6 1993146
7 200687
8 199774
9 199068
10 200756
11 201155
12 201755
13 201546
14 202041
15 201938
16 201127
17 201926
18 201122
19 199221
20 200916

About Ann E. Cleves

Ann E. Cleves is a scholar working on Computational Theory and Mathematics, Cell Biology, Molecular Biology, Spectroscopy and Biochemistry, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Cellular transport and secretion (12 papers), Protein Structure and Dynamics (7 papers), Chemical Synthesis and Analysis (5 papers), Fungal and yeast genetics research (4 papers), Enzyme Structure and Function (3 papers), Molecular spectroscopy and chirality (3 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Biochemistry (514 citations), Cell Biology (915 citations), Computational Theory and Mathematics (440 citations), Molecular Biology (857 citations) and Immunology (57 citations). Ann E. Cleves has collaborated with scholars based in United States. Frequent co-authors include Vytas A. Bankaitis, Ajay N. Jain, William Dowhan, Todd P. McGee, Peter Novick, Regis B. Kelly, Eric A. Whitters, S H Barondes, Mark G. Goebl and H B Skinner. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, The Journal of Cell Biology and Proteins Structure Function and Bioinformatics.

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.

Explore authors with similar magnitude of impact