Zelda R. Wasserman

5.2k citations
60 papers · 4.0k indexed · 2 hit papers · h-index 32
Topics
Protein Structure and Dynamics (9 papers)Peptidase Inhibition and Analysis (9 papers)Protease and Inhibitor Mechanisms (8 papers)

In The Last Decade

Zelda R. Wasserman

60 papers receiving 3.8k citations

Hit Papers

Synthetic Amphiphilic Peptide Models for Protein Ion Chan...197620261992200919881976100200300400500

Peers

Zelda R. Wasserman
Comparison fields: 5 of 122
  • Molecular Biology 1.7k
  • Materials Chemistry 1.2k
  • Organic Chemistry 997
  • Atomic and Molecular Physics, and Optics 451
  • Polymers and Plastics 372
Replace Christine Peter with:
Christine Peter Germany
John M. Seddon United Kingdom
Preston B. Moore United States
Danilo Roccatano Germany
Mark R. Wilson United Kingdom
Koichi Itoh Japan
Göran Lindblom Sweden
Yu‐Shan Lin United States
Daniel Harries Israel
Sandeep Patel United States
Zelda R. Wasserman relative to Christine Peter Germany Christine Peter's profile →
Citations per field
00.5×1.5×2.3×
Christine Peter · 1×
Citations per year

Countries citing papers authored by Zelda R. Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Zelda R. Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zelda R. Wasserman. 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 Zelda R. Wasserman. The network helps show where Zelda R. Wasserman may publish in the future.

Co-authorship network of co-authors of Zelda R. Wasserman

This figure shows the co-authorship network connecting the top 25 collaborators of Zelda R. Wasserman. A scholar is included among the top collaborators of Zelda R. Wasserman 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 Zelda R. Wasserman. Zelda R. Wasserman 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 18
2 61
3 44
4 13
5 28
6 27
7 38
8 31
9 45
10 21
11 29
12 27
13 41
14 24
15 57
16 5
17 41
18 1
19 154
20 30

About Zelda R. Wasserman

Zelda R. Wasserman is a scholar working on Cancer Research, Organic Chemistry and Oncology, having authored 60 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Peptidase Inhibition and Analysis (9 papers) and Protease and Inhibitor Mechanisms (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (315 citations), Organic Chemistry (997 citations) and Microbiology (168 citations). Zelda R. Wasserman has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Eugene Helfand, William F. DeGrado, W.F. DeGrado, James D. Lear, Lawrence C. Snyder, Thomas A. Weber, Carl P. Decicco, C. Nicholas Hodge, Maryanne Covington and Laura A. Chung. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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