M. H. Aprison

6.7k citations
102 papers · 4.9k indexed · h-index 37

Impact in

Papers in

M. H. Aprison

100 papers receiving 4.5k citations

Peers

M. H. Aprison
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 3.3k
  • Endocrine and Autonomic Systems 440
  • Biochemistry 447
  • Developmental Neuroscience 195
  • Sensory Systems 183
Replace V. P. Whittaker with:
V. P. Whittaker Germany
H. Corrodi Sweden
Kinya Kuriyama Japan
I J Kopin United States
R.H. Roth United States
Sydney Spector United States
SH Snyder United States
Chuang C. Chiueh United States
L L Iversen United Kingdom
Norton H. Neff United States
M. H. Aprison relative to V. P. Whittaker Germany V. P. Whittaker's profile →
Citations per field
00.5×2.6×
V. P. Whittaker · 1×
Citations per year

Countries citing papers authored by M. H. Aprison

Since Specialization
Citations

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

Fields of papers citing papers by M. H. Aprison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. H. Aprison. 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 M. H. Aprison. The network helps show where M. H. Aprison may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199613
2 19967
3 199525
4 19958
5 19953
6 19956
7 199510
8 19927
9 19918
10 19916
11 198923
12 197738
13 197576
14 19729
15 196826
16 1967159
17 196640
18 19654
19 195816
20 19582

About M. H. Aprison

M. H. Aprison is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Biochemistry, Neurology and Clinical Biochemistry, having authored 102 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (51 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Nicotinic Acetylcholine Receptors Study (12 papers), Receptor Mechanisms and Signaling (11 papers), Biochemical effects in animals (9 papers), Neuroscience of respiration and sleep (9 papers), Amino Acid Enzymes and Metabolism (7 papers) and Molecular Sensors and Ion Detection (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.3k citations), Endocrine and Autonomic Systems (440 citations), Biochemistry (447 citations), Developmental Neuroscience (195 citations) and Sensory Systems (183 citations). M. H. Aprison has collaborated with scholars based in United States, Bulgaria and Germany. Frequent co-authors include R. Werman, Richard P. Shank, L.T. Graham, Robert A. Davidoff, William J. McBride, J.N. Hingtgen, Jay Simon, P.A. Shea, Jon D. Lane and Bernard W. Agranoff. Their work appears in journals such as Journal of Neurochemistry, Life Sciences, Analytical Biochemistry, Brain Research and Neurochemical Research.

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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