A. Fleishman

2.7k citations
15 papers · 550 · h-index 9

Impact in

  • Hematology top 5%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders
    • Multiple Myeloma Research and Treatments
  • Biochemistry top 10%
    • Blood transfusion and management

Papers in

    • Erythropoietin and Anemia Treatment 10
    • Chronic Myeloid Leukemia Treatments 1
    • Biosimilars and Bioanalytical Methods 3

A. Fleishman

15 papers receiving 529 citations

Peers

A. Fleishman
Comparison fields: 5 of 66
  • Hematology 307
  • Biochemistry 55
  • Oncology 168
  • Genetics 41
  • Nephrology 18
Replace Yasukazu Kawai with:
Yasukazu Kawai Japan
Keiko Wanaka Japan
Egarit Noulsri Thailand
Christian Weißenberger Germany
Zhixiang Shen China
Sung‐Soo Yoon South Korea
R E Clark United Kingdom
M. Mohri United States
Hillard Lazarus United States
Montserrat Briz Spain
A. Fleishman relative to Yasukazu Kawai Japan Yasukazu Kawai's profile →
Citations per field
00.5×2.8×
Yasukazu Kawai · 1×
Citations per year

Countries citing papers authored by A. Fleishman

Since Specialization
Citations

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

Fields of papers citing papers by A. Fleishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
BCL-X expression in multiple myeloma: possible indicator of chemoresistance.
1998203
2 2009110
3 200173
4 200371
5 200434
6 200019
7 200111
8 200710
9 20208
10 20183
11 20073
12 20122
13 20071
14 20171
15 20101

About A. Fleishman

A. Fleishman is a scholar working on Hematology, Immunology, Infectious Diseases, Genetics and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 550 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (10 papers), Biosimilars and Bioanalytical Methods (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood transfusion and management (2 papers), HIV/AIDS drug development and treatment (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (307 citations), Biochemistry (55 citations), Oncology (168 citations), Genetics (41 citations) and Nephrology (18 citations). A. Fleishman has collaborated with scholars based in United States, Austria and Belgium. Frequent co-authors include John A. Glaspy, Alan Colowick, Matthew B. Rettig, Stanisław Krajewski, Yiping Tu, Alan Lichtenstein, John C. Reed, Jeremy M. G. Taylor, James Berenson and Judith Weisz. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cardiology and Therapy, Journal of Thoracic Oncology and The Journal of Infectious Diseases.

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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