Jennifer Heck

593 citations
17 papers · 372 indexed · 1 hit paper · h-index 10

Jennifer Heck

16 papers receiving 364 citations

Hit Papers

Direct observation of motor protein stepping in living ce...942023202620242025255075

Peers

Jennifer Heck
Comparison fields: 5 of 73
  • Structural Biology 27
  • Biophysics 80
  • Cellular and Molecular Neuroscience 112
  • Developmental Neuroscience 15
  • Cell Biology 54
Replace Joseph Fogerty with:
Joseph Fogerty United States
Tatsuhiko Ebihara Japan
Hiroko Yokoe United States
Ebba Gregorsson Lundius Sweden
Stefanie Bunse Germany
Madeline M. Farley United States
Pierre Parutto France
Jeffrey R. Cottrell United States
Frédéric Jaskolski France
Marc Dos Santos United States
Jennifer Heck relative to Joseph Fogerty United States Joseph Fogerty's profile →
Citations per field
00.5×
Joseph Fogerty · 1×
Citations per year

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

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

All Works

17 of 17 papers shown
#Work
1 20241
2
Direct observation of motor protein stepping in living cells using MINFLUXbreakdown →
202394
3 202219
4 20225
5 202116
6 20211
7 202028
8 20195
9 201930
10 201949
11 201619
12 201611
13 201064
14 19750
15 196825
16 19584
17 19581

About Jennifer Heck

Jennifer Heck is a scholar working on Structural Biology, Biophysics and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Lipid Membrane Structure and Behavior (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Structural Biology (27 citations), Biophysics (80 citations) and Cellular and Molecular Neuroscience (112 citations). Jennifer Heck has collaborated with scholars based in Germany, United States and France. Frequent 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. Their work appears in journals such as Science, Neuron and Journal of 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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