Eric D. Eisenmann

543 citations
31 papers · 271 · 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

28 papers receiving 269 citations

Peers

Eric D. Eisenmann
Comparison fields: 5 of 75
  • Behavioral Neuroscience 35
  • Biological Psychiatry 13
  • Hematology 53
  • Pharmacology 31
  • Developmental Neuroscience 14
Replace Abigail Yu with:
Abigail Yu South Korea
Nadine S. Tare United States
Sang Kyu Park South Korea
Hongxia Chu China
Shohei Yamamoto Japan
Giusy Messina Italy
Ken Tsumiyama Japan
Cheryl Galindo United States
Xiadi Zhou United States
Karissa Gable United States
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202134
2 202031
3 202021
4 201521
5 202016
6 201915
7 202115
8 201613
9 202112
10 202212
11 202010
12 201610
13 20188
14 20227
15 20227
16 20186
17 20226
18 20225
19 20225
20 20224

About Eric D. Eisenmann

Eric D. Eisenmann is a scholar working on Oncology, Molecular Biology, Hematology, Genetics and Infectious Diseases, having authored 31 papers that have together received 271 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Drug Transport and Resistance Mechanisms (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Stress Responses and Cortisol (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer therapeutics and mechanisms (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Behavioral Neuroscience (35 citations), Biological Psychiatry (13 citations), Hematology (53 citations), Pharmacology (31 citations) and Developmental Neuroscience (14 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, Phillip R. Zoladz, Yan Jin, Boyd R. Rorabaugh, Shuiying Hu, Albert Bui, Alice A. Gibson and Daelynn R. Buelow. Their work appears in journals such as Pharmaceutics, Blood, Clinical Cancer Research, The FASEB Journal and Stress.

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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