C.A. Tamminga

1.8k citations
54 papers · 1.4k · h-index 18

Impact in

Papers in

C.A. Tamminga

51 papers receiving 1.3k citations

Peers

C.A. Tamminga
Comparison fields: 5 of 103
  • Biological Psychiatry 128
  • Psychiatry and Mental health 474
  • Cellular and Molecular Neuroscience 449
  • Behavioral Neuroscience 54
  • Cognitive Neuroscience 255
Replace Kehong Zhang with:
Kehong Zhang United States
G. Stöber Germany
Kunio Yui Japan
Daniel Alicata United States
João Vinícius Salgado Brazil
Jesús Ramírez‐Bermúdez Mexico
Ernst Franzek Germany
Bryan K. Tolliver United States
Branimir Jernej Croatia
Elinore McCance United States
C.A. Tamminga relative to Kehong Zhang United States Kehong Zhang's profile →
Citations per field
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Kehong Zhang · 1×
Citations per year

Countries citing papers authored by C.A. Tamminga

Since Specialization
Citations

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

Fields of papers citing papers by C.A. Tamminga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.A. Tamminga. 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 C.A. Tamminga. The network helps show where C.A. Tamminga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000296
2 1999100
3
Gender and schizophrenia.
199789
4 198987
5 200286
6 201570
7 201869
8 199765
9 199964
10 200054
11 199449
12 201347
13 199743
14 199238
15 199937
16 200931
17 199622
18 201820
19 201216
20 199515

About C.A. Tamminga

C.A. Tamminga is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Pharmacology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (15 papers), Neuroscience and Neuropharmacology Research (6 papers), Functional Brain Connectivity Studies (4 papers), Treatment of Major Depression (4 papers), Tryptophan and brain disorders (4 papers), Epilepsy research and treatment (3 papers), Attention Deficit Hyperactivity Disorder (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Biological Psychiatry (128 citations), Psychiatry and Mental health (474 citations), Cellular and Molecular Neuroscience (449 citations), Behavioral Neuroscience (54 citations) and Cognitive Neuroscience (255 citations). C.A. Tamminga has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Robert R. Conley, Rosalinda C. Roberts, Brian Dean, Kazuo Sakai, Deanna L. Kelly, Gunvant K. Thaker, Osamu Shirakawa, Charles M. Richardson, Adrienne C. Lahti and Ghanshyam N. Pandey. Their work appears in journals such as Schizophrenia Research, American Journal of Psychiatry, Biological Psychiatry, European Neuropsychopharmacology and Magnetic Resonance in Medicine.

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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