Thomas Knott

30 papers receiving 578 citations

Peers

Thomas Knott
Comparison fields: 5 of 84
  • Physiology 78
  • Sensory Systems 73
  • Cellular and Molecular Neuroscience 270
  • Endocrine and Autonomic Systems 93
  • Cardiology and Cardiovascular Medicine 133
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Naomi Nagaya United States
Ramón Latorre Chile
U. Brändle Germany
Mitsuo Nohmi Japan
Volodymyr Rybalchenko United States
V. I. Skok Ukraine
Satyajit Mahapatra Italy
Paul H. M. Kullmann United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Knott

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Knott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 200459
3
CYTOCENTERING: a novel technique enabling automated cell-by-cell patch clamping with the CYTOPATCH chip.
200357
4 200245
5 200431
6 200328
7 200526
8 202126
9 201124
10 200224
11 200923
12 200821
13 200020
14 201919
15 201217
16 201116
17 200715
18 200614
19 202114
20 201212

About Thomas Knott

Thomas Knott is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Social Psychology and Endocrine and Autonomic Systems, having authored 31 papers that have together received 596 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (9 papers), Neuroendocrine regulation and behavior (8 papers), Ion channel regulation and function (7 papers), Neuroscience of respiration and sleep (7 papers), Adenosine and Purinergic Signaling (6 papers), Neuroscience and Neural Engineering (6 papers), Olfactory and Sensory Function Studies (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Physiology (78 citations), Sensory Systems (73 citations), Cellular and Molecular Neuroscience (270 citations), Endocrine and Autonomic Systems (93 citations) and Cardiology and Cardiovascular Medicine (133 citations). Thomas Knott has collaborated with scholars based in United States, Germany and Romania. Frequent co-authors include José R. Lémos, Thomas A. Schoenfeld, Steven N. Treistman, Edward E. Custer, Bogdan Amuzescu, Claus Burkhardt, Uli Weber, Olaf Scheel, Alfred Stett and Govindan Dayanithi. Their work appears in journals such as Journal of Neuroendocrinology, Biophysical Journal, Assay and Drug Development Technologies, Journal of Neuroscience and Alcoholism Clinical and Experimental 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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