Kenneth E. Goodwill

943 citations
9 papers · 834 · h-index 8

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Structure and Dynamics 2
    • RNA and protein synthesis mechanisms 1
    • Enzyme Structure and Function 4
    • Porphyrin and Phthalocyanine Chemistry 1

Kenneth E. Goodwill

9 papers receiving 818 citations

Peers

Kenneth E. Goodwill
Comparison fields: 5 of 82
  • Clinical Biochemistry 187
  • Biochemistry 84
  • Molecular Biology 569
  • Cellular and Molecular Neuroscience 149
  • Inorganic Chemistry 116
Replace Vladimir D. Sled with:
Vladimir D. Sled United States
Y. Nishina Japan
Kenji Aki Japan
Gerald E. Wuenschell United States
Walter Neupert Germany
Flavia Todone Italy
Ana Iriarte United States
Raúl Covián United States
Heike Angerer Germany
F.C. Hartman United States
Kenneth E. Goodwill relative to Vladimir D. Sled United States Vladimir D. Sled's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Kenneth E. Goodwill

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth E. Goodwill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Kenneth E. Goodwill, 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 Kenneth E. Goodwill Line = papers co-authored together Kenneth E. Goodwill links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1997232
2 1999204
3 1999185
4 1998114
5 199935
6 200026
7 200126
8 198811
9 19961

About Kenneth E. Goodwill

Kenneth E. Goodwill is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 9 papers that have together received 834 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Ubiquitin and proteasome pathways (2 papers), Metabolism and Genetic Disorders (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Protein Structure and Dynamics (2 papers), Axon Guidance and Neuronal Signaling (2 papers), RNA and protein synthesis mechanisms (1 paper) and Porphyrin and Phthalocyanine Chemistry (1 paper). The work is most often cited by research in Clinical Biochemistry (187 citations), Biochemistry (84 citations), Molecular Biology (569 citations), Cellular and Molecular Neuroscience (149 citations) and Inorganic Chemistry (116 citations). Kenneth E. Goodwill has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Raymond C. Stevens, Christopher D. Thanos, James U. Bowie, Cara Marks, Reetta Raag, Paul F. Fitzpatrick, Colin M. House, Belinda J. Michell, Ian G. Jennings and Bruce E. Kemp. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry, Inorganic Chemistry, Journal of Biological Chemistry and Science.

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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