T Repka

1.2k citations
18 papers · 977 · h-index 12

Impact in

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

Papers in

    • Hemoglobinopathies and Related Disorders 8
    • Chronic Lymphocytic Leukemia Research 2
    • Iron Metabolism and Disorders 7
    • Hematopoietic Stem Cell Transplantation 3
    • Chronic Myeloid Leukemia Treatments 1

T Repka

18 papers receiving 941 citations

Peers

T Repka
Comparison fields: 5 of 80
  • Genetics 282
  • Hematology 273
  • Immunology 289
  • Oncology 328
  • Physiology 155
Replace Lyonel G. Israels with:
Lyonel G. Israels Canada
RG Smith United States
Rahima Zennadi United States
Yuichi Nakamura Japan
Sujun Gao China
Quin Van United States
C. Van Der Heul Netherlands
G Kōsaki Japan
Lia Guidotti Italy
Takeo Kuribayashi Japan
T Repka relative to Lyonel G. Israels Canada Lyonel G. Israels's profile →
Citations per field
00.5×5.2×
Lyonel G. Israels · 1×
Citations per year

Countries citing papers authored by T Repka

Since Specialization
Citations

This map shows the geographic impact of T Repka'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 T Repka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Repka more than expected).

Fields of papers citing papers by T Repka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003197
2 1999171
3 1993171
4 199195
5 199582
6
Trastuzumab and interleukin-2 in HER2-positive metastatic breast cancer: a pilot study.
200366
7 199358
8 200034
9 200025
10 200520
11 199220
12 200714
13 20028
14 20005
15 19914
16 19933
17 19982
18
Reticulocytosis: defective reticulin degradation, a case report.
19892

About T Repka

T Repka is a scholar working on Genetics, Hematology, Physiology, Molecular Biology and Oncology, having authored 18 papers that have together received 977 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immune Cell Function and Interaction (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Genetics (282 citations), Hematology (273 citations), Immunology (289 citations), Oncology (328 citations) and Physiology (155 citations). T Repka has collaborated with scholars based in United States, Vietnam and Switzerland. Frequent co-authors include RP Hebbel, Jeffrey S. Miller, Linda J. Burns, Sarah Cooley, Daniel J. Weisdorf, Todd E. DeFor, P Rouyer-Fessard, Bertram H. Lubin, Mark D. Scott and Yves Beuzard. Their work appears in journals such as Blood, Experimental Hematology, Bone Marrow Transplantation, Journal of Clinical Investigation and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.

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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