Eric M. Neiman

724 citations
6 papers · 91 · h-index 2

Impact in

    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Cancer therapeutics and mechanisms
    • Ubiquitin and proteasome pathways
    • Gut microbiota and health
    • Melanoma and MAPK Pathways
    • Phagocytosis and Immune Regulation

Papers in

    • Immune Cell Function and Interaction 2
    • interferon and immune responses 2
    • Atherosclerosis and Cardiovascular Diseases 1
    • Immunodeficiency and Autoimmune Disorders 1
    • T-cell and B-cell Immunology 1
    • Ubiquitin and proteasome pathways 2
    • Cell death mechanisms and regulation 2

Eric M. Neiman

6 papers receiving 90 citations

Peers

Eric M. Neiman
Comparison fields: 5 of 35
  • Molecular Biology 72
  • Immunology 21
  • Oncology 24
  • Toxicology 3
  • Cancer Research 6
Replace E. Hui Clarissa Lee with:
E. Hui Clarissa Lee Singapore
Geronimo Dubra France
Malika Kapadia United States
Christopher Del Nagro France
Jason X. Tang United States
Gianluca Quintini Germany
Olena O Shevchuk Canada
Rita Cabrita United States
Matías González-Quiroz Chile
Pierre-René Körner Netherlands
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Citations per field
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E. Hui Clarissa Lee · 1×
Citations per year

Countries citing papers authored by Eric M. Neiman

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Neiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201379
2 20158
3 20131
4 20131
5 20141
6 20181

About Eric M. Neiman

Eric M. Neiman is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Oncology and Infectious Diseases, having authored 6 papers that have together received 91 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Cell death mechanisms and regulation (2 papers), Immune Cell Function and Interaction (2 papers), interferon and immune responses (2 papers), Cancer-related Molecular Pathways (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Molecular Biology (72 citations), Immunology (21 citations), Oncology (24 citations), Toxicology (3 citations) and Cancer Research (6 citations). Eric M. Neiman has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Yasuhiro Mitsuuchi, Srinivas K. Chunduru, Christopher A. Benetatos, He Xu, Mark A. McKinlay, Adina Vultur, Min Xiao, Meenhard Herlyn, Katherine L. Nathanson and Clemens Krepler. Their work appears in journals such as Cancer Research, Journal of Crohn s and Colitis, Clinical Cancer Research and The Journal of Immunology.

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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