Eugene Kaplan

973 citations
38 papers · 747 · h-index 15

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

Eugene Kaplan

38 papers receiving 588 citations

Peers

Eugene Kaplan
Comparison fields: 5 of 95
  • Genetics 268
  • Hematology 240
  • Pediatrics, Perinatology and Child Health 207
  • Physiology 157
  • Pharmacology 94
Replace J. W. Fisher with:
J. W. Fisher United States
N. T. Shahidi United States
William P. Winter United States
C. B. Modell United Kingdom
Herbert Schumacher United States
A. J. Grimes United Kingdom
Patricia L. Ashley United States
William D. Noteboom United States
R Vihko Finland
RP Hebbel United States
Eugene Kaplan relative to J. W. Fisher United States J. W. Fisher's profile →
Citations per field
00.5×3.0×
J. W. Fisher · 1×
Citations per year

Countries citing papers authored by Eugene Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Eugene Kaplan, 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 Kaplan Line = papers co-authored together Eugene Kaplan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195174
2 196467
3 195463
4 197350
5 196849
6 196348
7 195341
8 196139
9 195338
10 195433
11 197824
12 197020
13 197118
14 196816
15 196514
16 196313
17 196913
18 195912
19 196412
20 196811

About Eugene Kaplan

Eugene Kaplan is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Hematology, Physiology and Molecular Biology, having authored 38 papers that have together received 747 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Neonatal Health and Biochemistry (13 papers), Blood groups and transfusion (11 papers), Erythrocyte Function and Pathophysiology (10 papers), Iron Metabolism and Disorders (4 papers), Reproductive Health and Contraception (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Genetics (268 citations), Hematology (240 citations), Pediatrics, Perinatology and Child Health (207 citations), Physiology (157 citations) and Pharmacology (94 citations). Eugene Kaplan has collaborated with scholars based in United States. Frequent co-authors include F. Herz, Wolf W. Zuelzer, James V. Neel, J. Julian Chisolm, C Mouriquand, Joseph Stevenson, Leon Gordis, James Tonascia, Moysés Szklo and J. Tyson Tildón. Their work appears in journals such as Blood, The Journal of Pediatrics, Obstetrical & Gynecological Survey, Cancer and PEDIATRICS.

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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