Lisa Topolnik

2.5k citations
45 papers · 1.7k · h-index 24

Impact in

Papers in

Lisa Topolnik

44 papers receiving 1.7k citations

Peers

Lisa Topolnik
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 854
  • Neurology 308
  • Developmental Neuroscience 93
  • Behavioral Neuroscience 51
Replace Steven J. Middleton with:
Steven J. Middleton Japan
Michael T. Craig United States
Brenda C. Shields United States
Jian Gan United Kingdom
Elke C. Fuchs Germany
Ivan Pavlov United Kingdom
Sadegh Nabavi Denmark
Carmelo Sgobio Italy
Mark S. Cembrowski United States
Siqiong June Liu United States
Lisa Topolnik relative to Steven J. Middleton Japan Steven J. Middleton's profile →
Citations per field
00.5×1.5×
Steven J. Middleton · 1×
Citations per year

Countries citing papers authored by Lisa Topolnik

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Topolnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003104
2 2012102
3 201499
4 200696
5 200694
6 200785
7 202277
8 200872
9 200366
10 200566
11 200866
12 201464
13 200860
14 201860
15 201859
16 202150
17 202047
18 200345
19 202044
20 200942

About Lisa Topolnik

Lisa Topolnik is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Social Psychology, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (41 papers), Neural dynamics and brain function (15 papers), Memory and Neural Mechanisms (15 papers), Receptor Mechanisms and Signaling (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Photoreceptor and optogenetics research (6 papers), Ion channel regulation and function (5 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cognitive Neuroscience (854 citations), Neurology (308 citations), Developmental Neuroscience (93 citations) and Behavioral Neuroscience (51 citations). Lisa Topolnik has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jean‐Claude Lacaille, Simon Chamberland, Olivier Camiré, Kenneth A. Pelkey, Chris J. McBain, Ruggiero Francavilla, Patrice Congar, Linda Suzanne David, Mounia Azzi and Klas Kullander. Their work appears in journals such as Journal of Neuroscience, Frontiers in Cellular Neuroscience, The Journal of Physiology, Cell Reports and Frontiers in Synaptic Neuroscience.

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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