A. Fleishman

2.7k citations
15 papers · 528 · h-index 8

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
    • Biosimilars and Bioanalytical Methods 4

A. Fleishman

15 papers receiving 513 citations

Peers

A. Fleishman
Comparison fields: 5 of 68
  • Hematology 305
  • Biochemistry 82
  • Oncology 181
  • Genetics 48
  • Health Informatics 6
Replace Christian Weißenberger with:
Christian Weißenberger Germany
Keiko Wanaka Japan
H. J. Reimers Canada
Zhixiang Shen China
María Borrell Spain
John Houghton United Kingdom
Sung‐Soo Yoon South Korea
D S Alberts United States
Montserrat Briz Spain
A. Fleishman relative to Christian Weißenberger Germany Christian Weißenberger's profile →
Citations per field
00.5×1.5×2.4×
Christian Weißenberger · 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.
1990201
2 2009101
3 200169
4 200369
5 200432
6 200018
7 200111
8 200710
9 20207
10 20183
11 20122
12 20072
13 20171
14 20071
15 20101

About A. Fleishman

A. Fleishman is a scholar working on Hematology, Immunology, Oncology, Infectious Diseases and Genetics, having authored 15 papers that have together received 528 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (10 papers), Biosimilars and Bioanalytical Methods (4 papers), Pharmacological Effects and Toxicity Studies (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood transfusion and management (2 papers), PARP inhibition in cancer therapy (2 papers), HIV/AIDS drug development and treatment (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Hematology (305 citations), Biochemistry (82 citations), Oncology (181 citations), Genetics (48 citations) and Health Informatics (6 citations). A. Fleishman has collaborated with scholars based in United States, Austria and Greece. Frequent co-authors include John A. Glaspy, Alan Colowick, Yiping Tu, Robert Vescio, Stanisław Krajewski, Judith Weisz, John C. Reed, James Berenson, Alan Lichtenstein and Jeremy M. G. Taylor. Their work appears in journals such as Journal of Clinical Oncology, Cancer, British Journal of Cancer, Cardiology and Therapy and Journal of Thoracic Oncology.

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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