Peter D. Aplan

8.9k citations
155 papers · 6.4k indexed · h-index 48

Peter D. Aplan

147 papers receiving 6.3k citations

Peers

Peter D. Aplan
Comparison fields: 5 of 111
  • Hematology 2.3k
  • Molecular Biology 4.4k
  • Genetics 617
  • Immunology 1.1k
  • Public Health, Environmental and Occupational Health 1.2k
Replace Toshiya Inaba with:
Toshiya Inaba Japan
John D. Crispino United States
Joop H. Jansen Netherlands
Marieke von Lindern Netherlands
Stefan K. Bohlander Germany
Alan J. Warren United Kingdom
Takaomi Sanda Singapore
James C. Mulloy United States
Martin A. Horstmann Germany
Christopher J. Hetherington United States
Peter D. Aplan relative to Toshiya Inaba Japan Toshiya Inaba's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter D. Aplan

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Aplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20237
4 20218
5 20197
6 20194
7 20180
8 201459
9 20126
10 201020
11 200887
12 200752
13 200754
14 200713
15
Generation of immortal, IL3-dependent cell lines from embryonic stem (ES) cells expressing a NUP98-HOXD13 fusion gene
20061
16 200526
17
NUP98-Topoisomerase 1 acute myeloid leukemia-associated fusion gene has potent leukemogenic activities independent of an engineered catalytic site mutation
20041
18
scid Thymocytes with TCRbeta gene rearrangements are targets for the oncogenic effect of SCL and LMO1 transgenes.
200118
19 199821
20 199759

About Peter D. Aplan

Peter D. Aplan is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 155 papers that have together received 6.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (65 papers), Acute Lymphoblastic Leukemia research (46 papers), Chronic Lymphocytic Leukemia Research (19 papers), Protein Degradation and Inhibitors (17 papers), Chronic Myeloid Leukemia Treatments (17 papers), Genomics and Chromatin Dynamics (16 papers), DNA Repair Mechanisms (14 papers) and Epigenetics and DNA Methylation (14 papers). The work is most often cited by research in Hematology (2.3k citations), Molecular Biology (4.4k citations) and Genetics (617 citations). Peter D. Aplan has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Ilan R. Kirsch, Christopher Slape, Sheryl M. Gough, David S. Chervinsky, Donald P. Lombardi, Trang Hoang, Sabine Herblot, C. Glenn Begley, Xianfeng Zhao and Zhenhua Zhang. Their work appears in journals such as Blood, Cancer Research, Genes Chromosomes and Cancer, Molecular and Cellular Biology and Proceedings of the National Academy of Sciences.

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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