Kelsie Eichel

1.5k citations
12 papers · 1.1k · 1 hit paper · h-index 8

Impact in

Papers in

Kelsie Eichel

11 papers receiving 1.1k citations

Kelsie Eichel's Hit Papers

An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells 2017 · 292 citations
2920+3+6Years since publication50100150200250

Peers

Kelsie Eichel
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 404
  • Cell Biology 282
  • Molecular Biology 851
  • Aging 14
  • Biophysics 38
Replace Braden T. Lobingier with:
Braden T. Lobingier United States
Roshanak Irannejad United States
Eduard Stefan Austria
Mélanie Robitaille Canada
Chan Hyun Na United States
Matthew R. Whorton United States
Shawn K. Milano United States
Oleg G. Kisselev United States
Michael Chevalier United States
Yihong Yao United States
Kelsie Eichel relative to Braden T. Lobingier United States Braden T. Lobingier's profile →
Citations per field
00.5×1.5×2.1×
Braden T. Lobingier · 1×
Citations per year

Countries citing papers authored by Kelsie Eichel

Since Specialization
Citations

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

Fields of papers citing papers by Kelsie Eichel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells
Hit paper breakdown →
2017292
2 2018181
3 2016161
4 2017159
5 2018149
6 201859
7 202232
8 202213
9 20226
10 20116
11 20241
12 20250

About Kelsie Eichel

Kelsie Eichel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers), Cellular transport and secretion (3 papers), RNA Research and Splicing (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Microtubule and mitosis dynamics (1 paper), Ion channel regulation and function (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (404 citations), Cell Biology (282 citations), Molecular Biology (851 citations), Aging (14 citations) and Biophysics (38 citations). Kelsie Eichel has collaborated with scholars based in United States, France and China. Frequent co-authors include Mark von Zastrow, Damien Jullié, Kenneth B. Miller, Alice Y. Ting, Ruth Hüttenhain, Braden T. Lobingier, Nevan J. Krogan, Jean‐Baptiste Sibarita, Matthieu Masureel and Benjamin Barsi‐Rhyne. Their work appears in journals such as Nature, PLoS ONE, Nature Cell Biology, Current Biology and Cell Reports.

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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