Eric D. Eisenmann

33 papers receiving 444 citations

Peers

Eric D. Eisenmann
Comparison fields: 5 of 80
  • Behavioral Neuroscience 30
  • Hematology 77
  • Oncology 153
  • Biological Psychiatry 12
  • Pharmacology 37
Replace Francesca Gargano with:
Francesca Gargano Italy
Shixia Bu China
Yaru Zhou China
Kazumi Fujita Japan
Adri N. P. M. Mul Netherlands
Kriste A. Lewis United States
Nadine S. Tare United States
Jagdish Chandra Joshi United States
Kejun Nan China
Takashi Shimada Japan
Eric D. Eisenmann relative to Francesca Gargano Italy Francesca Gargano's profile →
Citations per field
00.5×2×4×5.3×
Francesca Gargano · 1×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 202153
3 202139
4 202034
5 202028
6 202122
7 201522
8 202017
9 201916
10 201616
11 202115
12 202215
13 202012
14 202211
15 201610
16 20229
17 20229
18 20188
19 20227
20 20227

About Eric D. Eisenmann

Eric D. Eisenmann is a scholar working on Hematology, Genetics, Oncology, Behavioral Neuroscience and Infectious Diseases, having authored 36 papers that have together received 448 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Drug Transport and Resistance Mechanisms (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), HIV/AIDS drug development and treatment (4 papers), Cancer Treatment and Pharmacology (3 papers), Protein Degradation and Inhibitors (3 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Behavioral Neuroscience (30 citations), Hematology (77 citations), Oncology (153 citations), Biological Psychiatry (12 citations) and Pharmacology (37 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, Kevin M. Huang, Alice A. Gibson and Muhammad Erfan Uddin. Their work appears in journals such as Pharmaceutics, Journal of Clinical Investigation, Stress, Journal of Chromatography B 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.

Explore authors with similar magnitude of impact