N. Eric Olson

1.2k citations
23 papers · 985 · h-index 13

Impact in

Papers in

    • Gene expression and cancer classification 5
    • Single-cell and spatial transcriptomics 2
    • Bioinformatics and Genomic Networks 2
    • Cancer-related Molecular Pathways 3

N. Eric Olson

22 papers receiving 952 citations

Peers

N. Eric Olson
Comparison fields: 5 of 91
  • Immunology and Allergy 92
  • Immunology 202
  • Cancer Research 125
  • Molecular Biology 453
  • Cell Biology 102
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Ju-Ock Nam South Korea
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Avner Adini United States
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Citations per field
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Citations per year

Countries citing papers authored by N. Eric Olson

Since Specialization
Citations

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

Fields of papers citing papers by N. Eric Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Eric Olson. 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 N. Eric Olson. The network helps show where N. Eric Olson may publish in the future.

Co-authors

The 25 scholars most cited alongside N. Eric Olson, 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 N. Eric Olson Line = papers co-authored together N. Eric Olson 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
Intimal smooth muscle cell proliferation after balloon catheter injury. The role of basic fibroblast growth factor.
1992143
2 1992142
3 1998120
4 200593
5 200071
6 200471
7 200266
8 200361
9 200648
10 201737
11 200036
12 200932
13 201017
14 201213
15 202310
16 19996
17 20096
18 20115
19 20064
20 20242

About N. Eric Olson

N. Eric Olson is a scholar working on Molecular Biology, Oncology, Biophysics, Cell Biology and Neurology, having authored 23 papers that have together received 985 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Cancer-related Molecular Pathways (3 papers), Microtubule and mitosis dynamics (2 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Immunotherapy and Immune Responses (2 papers), Bioinformatics and Genomic Networks (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology and Allergy (92 citations), Immunology (202 citations), Cancer Research (125 citations), Molecular Biology (453 citations) and Cell Biology (102 citations). N. Eric Olson has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Michael A. Reidy, Volkhard Lindner, Hiroyuki Koyama, S. H. Chao, ALEXANDER W. CLOWES, Edward A. Clark, Frank Dastvan, Kevin E. Draves, Dario M. Magaletti and Helen Floyd. Their work appears in journals such as The Journal of Immunology, Physiological Genomics, Mayo Clinic Proceedings, Journal of Clinical Investigation and Current Protocols in Bioinformatics.

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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