Kira E. Poskanzer

5.5k citations
28 papers · 2.2k · h-index 22

Impact in

Papers in

Kira E. Poskanzer

27 papers receiving 2.1k citations

Peers

Kira E. Poskanzer
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 1.3k
  • Neurology 451
  • Developmental Neuroscience 157
  • Cell Biology 488
  • Cognitive Neuroscience 540
Replace Marco Sassoé‐Pognetto with:
Marco Sassoé‐Pognetto Italy
Gian Michele Ratto Italy
Hee Jung Chung United States
Peter Jedlička Germany
Susanne tom Dieck Germany
Jennifer N. Bourne United States
Ákos Kulik Germany
Renato Frischknecht Germany
Naomi Kamasawa United States
Hyung-Bae Kwon United States
Kira E. Poskanzer relative to Marco Sassoé‐Pognetto Italy Marco Sassoé‐Pognetto's profile →
Citations per field
00.5×1.5×2.0×
Marco Sassoé‐Pognetto · 1×
Citations per year

Countries citing papers authored by Kira E. Poskanzer

Since Specialization
Citations

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

Fields of papers citing papers by Kira E. Poskanzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kira E. Poskanzer. 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 Kira E. Poskanzer. The network helps show where Kira E. Poskanzer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016287
2 2003210
3 2007197
4 2004178
5 2011155
6 2019132
7 2014113
8 2020113
9 2021106
10 200490
11 200673
12 202371
13 201961
14 201849
15 202447
16 200345
17 201744
18 202241
19 201733
20 201729

About Kira E. Poskanzer

Kira E. Poskanzer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Cell Biology, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Photoreceptor and optogenetics research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cellular transport and secretion (5 papers), Lipid Membrane Structure and Behavior (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neural Engineering (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Neurology (451 citations), Developmental Neuroscience (157 citations), Cell Biology (488 citations) and Cognitive Neuroscience (540 citations). Kira E. Poskanzer has collaborated with scholars based in United States, Argentina and Spain. Frequent co-authors include Rafael Yuste, Graeme W. Davis, Sean T. Sweeney, Volodymyr Nikolenko, Michael E. Reitman, Kurt W. Marek, Trisha V. Vaidyanathan, Silvia Pittolo, Regis B. Kelly and Bruno Marie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience, Journal of Neuroscience, Nature and Neuron.

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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