Kenneth Neet

5.3k citations
114 papers · 4.4k indexed · 1 hit paper · h-index 36

Impact in

Papers in

Kenneth Neet

114 papers receiving 4.1k citations

Hit Papers

The Catalytic and Regulatory Properties of Enzymes 1968 · 438 citations
4381968202619872006100200300400

Peers

Kenneth Neet
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 236
  • Molecular Biology 3.0k
  • Cell Biology 674
  • Biochemistry 277
Replace Jerry H. Wang with:
Jerry H. Wang Canada
Glyn Dawson United States
Judit Ovádi Hungary
Matthias Eckhardt Germany
Judith Murray‐Rust United Kingdom
Kah‐Leong Lim Singapore
Erling Seeberg Norway
W. Stoffel Germany
Petri Kursula Finland
Lester R. Drewes United States
Kenneth Neet relative to Jerry H. Wang Canada Jerry H. Wang's profile →
Citations per field
00.5×3.0×
Jerry H. Wang · 1×
Citations per year

Countries citing papers authored by Kenneth Neet

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Neet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017103
2
MOLECULAR CELL BIOLOGY
20161
3
A Balance of Neuroprotective versus Neurotoxic Mechanisms in Experimental and Human Glaucoma
20111
4 201091
5 200917
6 20083
7 200848
8 200426
9 200320
10 200367
11 200214
12 200057
13 199883
14 199625
15 199513
16 199413
17 199431
18 199422
19 19904
20 19904

About Kenneth Neet

Kenneth Neet is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Biochemistry, Molecular Biology and Physiology, having authored 114 papers that have together received 4.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (43 papers), Hemoglobin structure and function (28 papers), Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (17 papers), Signaling Pathways in Disease (14 papers), Pancreatic function and diabetes (11 papers), Amino Acid Enzymes and Metabolism (8 papers) and Mass Spectrometry Techniques and Applications (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (236 citations), Molecular Biology (3.0k citations), Cell Biology (674 citations) and Biochemistry (277 citations). Kenneth Neet has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Daniel E. Koshland, Garrett R. Ainslie, David E. Timm, Peter S. Tippett, Shivanand P. Lad, Sang B. Woo, David A. Goldthwait, Robert B. Campenot, Sheng‐Xiang Lin and Mary E. Karpen. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Archives of Biochemistry and Biophysics, Protein Science and Journal of Molecular Biology.

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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