Jennifer Heck

593 total citations · 1 hit paper
17 papers, 372 citations indexed

About

Jennifer Heck is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Jennifer Heck has authored 17 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Biophysics. Recurrent topics in Jennifer Heck's work include Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Jennifer Heck is often cited by papers focused on Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Jennifer Heck collaborates with scholars based in Germany, United States and France. Jennifer Heck's co-authors include Martin Heine, Arthur Bikbaev, Chris Q. Doe, Clemens Cabernard, Daniela C. Zarnescu, Kyung‐Min Noh, Pierre Parutto, Sebastian Schnorrenberg, Takahiro Deguchi and Jonas Ries and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Jennifer Heck

16 papers receiving 364 citations

Hit Papers

Direct observation of motor protein stepping in living ce... 2023 2026 2024 2025 2023 25 50 75

Peers

Jennifer Heck
Comparison fields: 5 of 73
  • Molecular Biology 219
  • Cellular and Molecular Neuroscience 112
  • Biophysics 80
  • Genetics 57
  • Cell Biology 54
Replace Marc Dos Santos with:
Marc Dos Santos United States
Pierre Parutto France
Kohtaroh Sugao Japan
Jeffrey R. Cottrell United States
Maozhen Qin United States
Hiroko Yokoe United States
Mini Jose India
Katalin Czöndör France
Frédéric Jaskolski France
Marc Dos Santos United States View profile →
Citations per field, relative to Jennifer Heck
Jennifer Heck · 1×
Citations per year, relative to Jennifer Heck
Jennifer Heck · 1×

Countries citing papers authored by Jennifer Heck

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Heck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Heck

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Heck. A scholar is included among the top collaborators of Jennifer Heck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Heck. Jennifer Heck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2
Direct observation of motor protein stepping in living cells using MINFLUX breakdown →
94
3 19
4 5
5 16
6 1
7 28
8 5
9 30
10 49
11 19
12 11
13 64
14 0
15 25
16 4
17 1

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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