Geri E. Kreitzer

3.2k citations
38 papers · 2.7k · h-index 20

Impact in

  • Cell Biology top 0.5%
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cell Adhesion Molecules Research

Papers in

    • Cellular transport and secretion 20
    • Microtubule and mitosis dynamics 17
    • Cellular Mechanics and Interactions 6
    • Genomics and Chromatin Dynamics 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Ubiquitin and proteasome pathways 3

Geri E. Kreitzer

36 papers receiving 2.6k citations

Peers

Geri E. Kreitzer
Comparison fields: 5 of 99
  • Cell Biology 1.4k
  • Immunology and Allergy 190
  • Molecular Biology 1.7k
  • Aging 29
  • Virology 63
Replace Ian P. Whitehead with:
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Citations per field
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Ian P. Whitehead · 1×
Citations per year

Countries citing papers authored by Geri E. Kreitzer

Since Specialization
Citations

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

Fields of papers citing papers by Geri E. Kreitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005523
2 2000215
3 2000213
4 2004204
5 2003183
6 1999179
7 2001157
8 2003129
9 200794
10 200891
11 201185
12 200883
13 201083
14 201471
15 200869
16 200468
17 200623
18 201822
19 201021
20 201921

About Geri E. Kreitzer

Geri E. Kreitzer is a scholar working on Cell Biology, Molecular Biology, Immunology and Allergy, Cellular and Molecular Neuroscience and Immunology, having authored 38 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (20 papers), Microtubule and mitosis dynamics (17 papers), Cellular Mechanics and Interactions (6 papers), Genomics and Chromatin Dynamics (4 papers), Cell Adhesion Molecules Research (4 papers), Pancreatic function and diabetes (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cell Biology (1.4k citations), Immunology and Allergy (190 citations), Molecular Biology (1.7k citations), Aging (29 citations) and Virology (63 citations). Geri E. Kreitzer has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Enrique J. Rodriguez-Boulan, Anne Müsch, Fanny Jaulin, Gregg G. Gundersen, Sanford M. Simon, Jan Schmoranzer, Guojuan Liao, Andrew T. Jacovina, Katherine A. Hajjar and Arunkumar B. Deora. Their work appears in journals such as The Journal of Cell Biology, Journal of Cell Science, Journal of Biological Chemistry, Molecular Biology of the Cell and The Journal of Experimental Medicine.

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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