Eugene Park

3.7k citations
48 papers · 1.4k · h-index 17

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

Eugene Park

47 papers receiving 1.4k citations

Peers

Eugene Park
Comparison fields: 5 of 110
  • Hematology 229
  • Genetics 140
  • Oncology 311
  • Cancer Research 167
  • Molecular Biology 678
Replace Yunfang Wang with:
Yunfang Wang China
Michael Leserer Germany
Philip D. Cotter United States
M. Ueda Japan
Y Yazaki Japan
Huilei Xu United States
Suzanne E. Williams United States
Sung Choe United States
Riccardo Taulli Italy
Jinlong Shi China
Eugene Park relative to Yunfang Wang China Yunfang Wang's profile →
Citations per field
00.5×1.5×2.4×
Yunfang Wang · 1×
Citations per year

Countries citing papers authored by Eugene Park

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene Park. 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 Eugene Park. The network helps show where Eugene Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008340
2 2011139
3 2015127
4 2007122
5 200897
6 200992
7 201190
8 199356
9 201556
10 201343
11 201541
12 201639
13 201728
14 202023
15 202019
16 202018
17 201416
18 201614
19 20098
20 20217

About Eugene Park

Eugene Park is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Neurology and Hematology, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), RNA Interference and Gene Delivery (4 papers), Neonatal and fetal brain pathology (4 papers), Zebrafish Biomedical Research Applications (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Hematology (229 citations), Genetics (140 citations), Oncology (311 citations), Cancer Research (167 citations) and Molecular Biology (678 citations). Eugene Park has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Kaiji Hu, Sandra E. Dunn, Anna L. Stratford, Golareh Habibi, Andrew Baker, Markus Müschen, Robert I. Nicholson, Michaël Pollak, Marco M. Gottardis and Joan M. Carboni. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Journal of Neurotrauma, Zebrafish and 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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