Kenneth E. Kratz

1.3k citations
29 papers · 1.0k · h-index 18

Impact in

Papers in

Kenneth E. Kratz

29 papers receiving 931 citations

Peers

Kenneth E. Kratz
Comparison fields: 5 of 72
  • Cognitive Neuroscience 549
  • Cellular and Molecular Neuroscience 502
  • Ophthalmology 231
  • Sensory Systems 48
  • Endocrine and Autonomic Systems 61
Replace Carol M. Cicerone with:
Carol M. Cicerone United States
Heywood M. Petry United States
Jürgen Röhrenbeck Germany
AE Hendrickson United States
Ellen S. Takahashi United States
V. A. Casagrande United States
Mark W. Dubin United States
Edward H. Polley United States
François Vital‐Durand France
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth E. Kratz

Since Specialization
Citations

This map shows the geographic impact of Kenneth E. Kratz'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. Kratz 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. Kratz more than expected).

Fields of papers citing papers by Kenneth E. Kratz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976140
2 1977138
3 198084
4 199478
5 197663
6 198849
7 198047
8 197745
9 197945
10 197844
11 198232
12 197931
13 197827
14
Electroretinograms and visual evoked potentials in long-term monocularly deprived cats.
199023
15 197823
16 197820
17 197819
18 198218
19 200017
20 198716

About Kenneth E. Kratz

Kenneth E. Kratz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Endocrine and Autonomic Systems and Ophthalmology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Development and Disorders (14 papers), Visual perception and processing mechanisms (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Photoreceptor and optogenetics research (8 papers), Circadian rhythm and melatonin (5 papers), Neural dynamics and brain function (5 papers), Glaucoma and retinal disorders (4 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (549 citations), Cellular and Molecular Neuroscience (502 citations), Ophthalmology (231 citations), Sensory Systems (48 citations) and Endocrine and Autonomic Systems (61 citations). Kenneth E. Kratz has collaborated with scholars based in United States. Frequent co-authors include S. Murray Sherman, Peter D. Spear, Stephen Lehmkuhle, P. D. Spear, Theresa E. Hickey, Stuart C. Mangel, Sarah V. Webb, N. W. Daw, D. Parkinson and Chia‐Sheng Lin. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research, Journal of Neurophysiology, Vision Research and Visual Neuroscience.

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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