Gene G. Kinney

6.3k citations
89 papers · 4.5k indexed · h-index 36
Topics
Neuroscience and Neuropharmacology Research (32 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers)Alzheimer's disease research and treatments (21 papers)

In The Last Decade

Gene G. Kinney

86 papers receiving 4.4k citations

Peers

Gene G. Kinney
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 2.4k
  • Molecular Biology 2.0k
  • Physiology 1.4k
  • Cognitive Neuroscience 784
  • Neurology 640
Replace Edilio Borroni with:
Edilio Borroni Switzerland
Konrad Talbot United States
Karin Borges Australia
Hiroshi Ujike Japan
Michael J. O’Neill United Kingdom
Ernesto Fedele Italy
Michel Bottlaender France
Tracey K. Murray United Kingdom
Alain Buisson France
Catherine Bergeron Canada
Gene G. Kinney relative to Edilio Borroni Switzerland Edilio Borroni's profile →
Citations per field
00.5×1.7×
Edilio Borroni · 1×
Citations per year

Countries citing papers authored by Gene G. Kinney

Since Specialization
Citations

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

Fields of papers citing papers by Gene G. Kinney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene G. Kinney. 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 Gene G. Kinney. The network helps show where Gene G. Kinney may publish in the future.

Co-authorship network of co-authors of Gene G. Kinney

This figure shows the co-authorship network connecting the top 25 collaborators of Gene G. Kinney. A scholar is included among the top collaborators of Gene G. Kinney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gene G. Kinney. Gene G. Kinney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 6
4 147
5 1
6 4
7 40
8 60
9 16
10 15
11 32
12 88
13 97
14 48
15 44
16 49
17 81
18 51
19 11
20 87

About Gene G. Kinney

Gene G. Kinney is a scholar working on Cellular and Molecular Neuroscience, Physiology and Biochemistry, having authored 89 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers) and Alzheimer's disease research and treatments (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Biological Psychiatry (240 citations) and Physiology (1.4k citations). Gene G. Kinney has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include P. Jeffrey Conn, Cyrille Sur, Bernát Kocsis, Robert P. Vertes, Maryann Burno, Paul J. Shughrue, David L. Williams, Craig W. Lindsley, Wagner Zago and Michael Grundman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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