Eric D. Eisenmann

570 citations
32 papers · 298 · h-index 11

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 8
    • Protein Degradation and Inhibitors 3
    • Cancer therapeutics and mechanisms 3

Eric D. Eisenmann

29 papers receiving 296 citations

Peers

Eric D. Eisenmann
Comparison fields: 5 of 75
  • Behavioral Neuroscience 30
  • Hematology 54
  • Biological Psychiatry 11
  • Pharmacology 30
  • Oncology 79
Replace Abigail Yu with:
Abigail Yu South Korea
Sang Kyu Park South Korea
Xiadi Zhou United States
Ken Tsumiyama Japan
Cheryl Galindo United States
James Harrison United Kingdom
Sorin Musat‐Marcu Canada
Naoto Ishibashi Japan
Biao Chen China
Francisco H C Felix Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Eric D. Eisenmann

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Eisenmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202136
2 202033
3 202023
4 201522
5 202118
6 202016
7 201915
8 202113
9 202213
10 201613
11 202011
12 202210
13 201610
14 20228
15 20228
16 20188
17 20226
18 20226
19 20186
20 20234

About Eric D. Eisenmann

Eric D. Eisenmann is a scholar working on Oncology, Molecular Biology, Hematology, Genetics and Infectious Diseases, having authored 32 papers that have together received 298 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Protein Degradation and Inhibitors (3 papers), HIV/AIDS drug development and treatment (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Behavioral Neuroscience (30 citations), Hematology (54 citations), Biological Psychiatry (11 citations), Pharmacology (30 citations) and Oncology (79 citations). Eric D. Eisenmann has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Sharyn D. Baker, Alex Sparreboom, Zahra Talebi, Yan Jin, Phillip R. Zoladz, Boyd R. Rorabaugh, Shuiying Hu, Albert Bui, Kevin M. Huang and Sarah L. Seeley. Their work appears in journals such as Pharmaceutics, Clinical Cancer Research, Blood, The FASEB Journal and Journal of Chromatography B.

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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