Eric M. Neiman

553 citations
4 papers · 82 · h-index 2

Impact in

    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Melanoma and MAPK Pathways
    • Cancer therapeutics and mechanisms
    • Ubiquitin and proteasome pathways

Papers in

    • Cell death mechanisms and regulation 2
    • Ubiquitin and proteasome pathways 2
    • Cancer therapeutics and mechanisms 1
    • RNA Interference and Gene Delivery 1
    • Cancer-related Molecular Pathways 2

Eric M. Neiman

4 papers receiving 81 citations

Peers

Eric M. Neiman
Comparison fields: 5 of 35
  • Oncology 30
  • Molecular Biology 68
  • Immunology 19
  • Toxicology 3
  • Cancer Research 6
Replace Jason X. Tang with:
Jason X. Tang United States
Sarah Sarker United Kingdom
Selina Qiuying Liu United States
Jacqueline H. L. Fok United Kingdom
Anne Schönle Switzerland
Olena O Shevchuk Canada
Konstanze Doehner Germany
Harald Polzer Germany
May Ji United States
Stephen Grossman Japan
Eric M. Neiman relative to Jason X. Tang United States Jason X. Tang's profile →
Citations per field
00.5×4.5×
Jason X. Tang · 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

4 of 4 papers shown

About Eric M. Neiman

Eric M. Neiman is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 82 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Cell death mechanisms and regulation (2 papers), Ubiquitin and proteasome pathways (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer therapeutics and mechanisms (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Oncology (30 citations), Molecular Biology (68 citations), Immunology (19 citations), Toxicology (3 citations) and Cancer Research (6 citations). Eric M. Neiman has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Srinivas K. Chunduru, Christopher A. Benetatos, Yasuhiro Mitsuuchi, Clemens Krepler, Mark A. McKinlay, Molly B. Halloran, Hubert Pehamberger, He Xu, Adina Vultur and Jessie Villanueva. Their work appears in journals such as Cancer Research and Clinical Cancer Research.

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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