Suzanne Knapp

1.9k citations
43 papers · 1.4k · h-index 19

Impact in

Papers in

Suzanne Knapp

43 papers receiving 1.3k citations

Peers

Suzanne Knapp
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 705
  • Biological Psychiatry 82
  • Behavioral Neuroscience 71
  • Hepatology 128
  • Psychiatry and Mental health 200
Replace Izuru Matsumoto with:
Izuru Matsumoto Australia
Brian A. McMillen United States
John S. Andrews United States
W D Denckla United States
Ernst A. Singer Austria
Tiebing Liang United States
Jean‐Paul Nicolas France
Libby M. Yunger United States
Louise Grondin Canada
V. Carla� Italy
Suzanne Knapp relative to Izuru Matsumoto Australia Izuru Matsumoto's profile →
Citations per field
00.5×4.7×
Izuru Matsumoto · 1×
Citations per year

Countries citing papers authored by Suzanne Knapp

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Knapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976183
2 2003146
3 2016135
4 1973104
5 197280
6 197477
7 197270
8 197563
9
Regulation of serotonin biosynthesis in brain: role of the high affinity uptake of tryptophan into serotonergic neurons.
197757
10 197553
11 197348
12 197445
13 197339
14 197839
15 197628
16 197223
17 198921
18 199121
19 197419
20 197618

About Suzanne Knapp

Suzanne Knapp is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biological Psychiatry, Psychiatry and Mental health and Pharmacology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (22 papers), Neuroscience and Neuropharmacology Research (14 papers), Tryptophan and brain disorders (7 papers), Bipolar Disorder and Treatment (5 papers), Protein Structure and Dynamics (5 papers), Ion channel regulation and function (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (705 citations), Biological Psychiatry (82 citations), Behavioral Neuroscience (71 citations), Hepatology (128 citations) and Psychiatry and Mental health (200 citations). Suzanne Knapp has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Arnold J. Mandell, Mark A. Geyer, W P Bullard, Amadeo Puerto, Mark Thursz, Mark Wright, Ronald Kuczenski, David S. Segal, Susan B. Weinberger and A J Frodsham. Their work appears in journals such as Life Sciences, Brain Research, Journal of Pharmacology and Experimental Therapeutics, Neuropharmacology 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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