William E. Seifert

37 papers receiving 1.1k citations

Peers

William E. Seifert
Comparison fields: 5 of 105
  • Clinical Biochemistry 110
  • Molecular Medicine 71
  • Clinical Psychology 247
  • Cellular and Molecular Neuroscience 209
  • Biochemistry 80
Replace Hanne D. Hansen with:
Hanne D. Hansen Denmark
Robert Tomchick United States
Indrapal N. Singh United States
Peter Bjurling Sweden
Barbara Costa Italy
John F. Howes United States
Jukka Vidgren Finland
Liana Asatryan United States
Timothy J. Mantle Ireland
Frank Faltraco Germany
William E. Seifert relative to Hanne D. Hansen Denmark Hanne D. Hansen's profile →
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Citations per year

Countries citing papers authored by William E. Seifert

Since Specialization
Citations

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

Fields of papers citing papers by William E. Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998202
2 1979149
3 1982140
4 2000111
5 1982106
6 1980101
7 197870
8 198145
9 197341
10 198028
11
Interactions of melphalan with glutathione and the role of glutathione S-transferase.
199622
12 197521
13 198417
14 201115
15 199614
16 197814
17 198913
18 197813
19 199212
20 197911

About William E. Seifert

William E. Seifert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Public Health, Environmental and Occupational Health and Spectroscopy, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diversity and Career in Medicine (5 papers), Health and Medical Research Impacts (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Analytical Chemistry and Chromatography (3 papers), Innovations in Medical Education (3 papers), Forensic Toxicology and Drug Analysis (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Clinical Biochemistry (110 citations), Molecular Medicine (71 citations), Clinical Psychology (247 citations), Cellular and Molecular Neuroscience (209 citations) and Biochemistry (80 citations). William E. Seifert has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Richard M. Caprioli, Ian J. Butler, Harvey S. Singer, Stephen H. Koslow, Joseph T. Coyle, Larry E. Tune, Sanjay Srivastava, Beverly B. DaGue, Satish K. Srivastava and Lifei Wang. Their work appears in journals such as Annals of Neurology, Cancer Chemotherapy and Pharmacology, Biochemical and Biophysical Research Communications, The Journal of Pediatrics and Analytical 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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