Michael Gorczyca

3.6k citations
23 papers · 2.9k · h-index 21

Impact in

Papers in

Michael Gorczyca

23 papers receiving 2.9k citations

Peers

Michael Gorczyca
Comparison fields: 5 of 84
  • Aging 240
  • Cellular and Molecular Neuroscience 2.1k
  • Cell Biology 1.2k
  • Molecular Biology 1.6k
  • Developmental Neuroscience 72
Replace Christoph Schuster with:
Christoph Schuster Germany
Georg Dietzl Austria
Carolin Wichmann Germany
Karen L. Schulze United States
Wesley B. Grueber United States
Mani Ramaswami United States
P. Robin Hiesinger United States
A. Pejmun Haghighi United States
Oren Schuldiner Israel
Tobias M. Rasse Germany
Michael Gorczyca relative to Christoph Schuster Germany Christoph Schuster's profile →
Citations per field
00.5×1.6×
Christoph Schuster · 1×
Citations per year

Countries citing papers authored by Michael Gorczyca

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gorczyca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996342
2 2002336
3 1994262
4 1997242
5 1999222
6 2008216
7 1993184
8 1995163
9 1996119
10 2002108
11 201399
12 200698
13 200282
14 200080
15 199477
16 198472
17 200670
18 199149
19 201725
20 199223

About Michael Gorczyca

Michael Gorczyca is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Genetics and Ecology, having authored 23 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Cellular transport and secretion (8 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Physiological and biochemical adaptations (3 papers), Retinal Development and Disorders (3 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Aging (240 citations), Cellular and Molecular Neuroscience (2.1k citations), Cell Biology (1.2k citations), Molecular Biology (1.6k citations) and Developmental Neuroscience (72 citations). Michael Gorczyca has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Vivian Budnik, Mary Packard, K. Andrew White, Beate Hartmann, Youngho Koh, Timothy Lahey, Colleen D. Hough, Daniel Woods, Susan Cumberledge and Laura Torroja. Their work appears in journals such as Current Biology, Journal of Neuroscience, Neuron, The Journal of Membrane Biology and International review of neurobiology.

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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