I. Parnas

5.2k citations
127 papers · 4.2k indexed · h-index 38

Impact in

Papers in

I. Parnas

126 papers receiving 3.9k citations

Peers

I. Parnas
Comparison fields: 5 of 124
  • Cellular and Molecular Neuroscience 3.3k
  • Cognitive Neuroscience 777
  • Molecular Biology 1.9k
  • Sensory Systems 111
  • Cell Biology 312
Replace V. F. Castellucci with:
V. F. Castellucci United States
L Tauc France
Vincent F. Castellucci Canada
J. Dudél Germany
H. M. Gerschenfeld France
Ferdinand S. Vilim United States
Harry Grundfest United States
J. E. Brown United States
G.A. Cottrell United Kingdom
C. Eyzaguirre United States
I. Parnas relative to V. F. Castellucci United States V. F. Castellucci's profile →
Citations per field
00.5×1.5×2.2×
V. F. Castellucci · 1×
Citations per year

Countries citing papers authored by I. Parnas

Since Specialization
Citations

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

Fields of papers citing papers by I. Parnas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
THE TOXICITY OF PRYMNESIUM PARVUM
20130
2 201326
3 201133
4 20064
5 200668
6 200522
7 19988
8 199771
9 19957
10 19938
11 19924
12 199143
13 198955
14 198925
15 198978
16 198824
17 198710
18 19853
19 19737
20 196557

About I. Parnas

I. Parnas is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Cell Biology and Plant Science, having authored 127 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (57 papers), Neuroscience and Neural Engineering (48 papers), Ion channel regulation and function (31 papers), Neuroscience and Neuropharmacology Research (24 papers), Photoreceptor and optogenetics research (22 papers), Advanced Memory and Neural Computing (17 papers), Neural dynamics and brain function (16 papers) and Plant and Biological Electrophysiology Studies (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.3k citations), Cognitive Neuroscience (777 citations), Molecular Biology (1.9k citations), Sensory Systems (111 citations) and Cell Biology (312 citations). I. Parnas has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include H. Parnas, J. Dudél, Micha E. Spira, Yoram Grossman, H. L. Atwood, Felix Bergmann, Idan Segev, Yair Ben-Chaim, B. C. Abbott and Inna Slutsky. Their work appears in journals such as Journal of Neurophysiology, The Journal of Physiology, Pflügers Archiv - European Journal of Physiology, Journal of Experimental Biology and Proceedings of the National Academy of Sciences.

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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