Stephen Powers

1.6k citations
47 papers · 1.4k · h-index 20

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 4
    • Glycosylation and Glycoproteins Research 3
    • Peptidase Inhibition and Analysis 11

Stephen Powers

47 papers receiving 1.4k citations

Peers

Stephen Powers
Comparison fields: 5 of 113
  • Cellular and Molecular Neuroscience 411
  • Molecular Biology 747
  • Plant Science 395
  • Cell Biology 134
  • Cancer Research 107
Replace Shmaryahu Blumberg with:
Shmaryahu Blumberg Israel
Jui Yoa Chang Germany
Frits C. Stevens United States
Grace Han United States
Roger W. Roeske United States
Céline Tarnus France
Severino Ronchi Italy
Toni Kline United States
Albert Light United States
Fernando Marchiori Italy
Stephen Powers relative to Shmaryahu Blumberg Israel Shmaryahu Blumberg's profile →
Citations per field
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Shmaryahu Blumberg · 1×
Citations per year

Countries citing papers authored by Stephen Powers

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984153
2 2011145
3 1993106
4 198898
5 198778
6 198967
7 201365
8 198860
9 197955
10 201453
11 201353
12 198846
13 198941
14 201237
15 201427
16 198727
17 199025
18 198925
19 201324
20 198822

About Stephen Powers

Stephen Powers is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Plant Science and Food Science, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Mycotoxins in Agriculture and Food (11 papers), Peptidase Inhibition and Analysis (11 papers), Pesticide Residue Analysis and Safety (8 papers), Analytical Chemistry and Chromatography (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (411 citations), Molecular Biology (747 citations), Plant Science (395 citations), Cell Biology (134 citations) and Cancer Research (107 citations). Stephen Powers has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Laurence J. Miller, Angelo Visconti, Delia I. Pinon, Veronica M. T. Lattanzio, Harold A. Scheraga, Lucia Gambacorta, Gregory J. Gores, Herbert Y. Gaisano, Michele Solfrizzo and Randall K. Pearson. Their work appears in journals such as Macromolecules, Biochemistry, Society, Journal of Biological Chemistry and Analytical Biochemistry.

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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