A Pollak

443 citations
11 papers · 379 · h-index 8

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Immune Cell Function and Interaction

Papers in

A Pollak

11 papers receiving 352 citations

Peers

A Pollak
Comparison fields: 5 of 55
  • Hematology 210
  • Immunology 116
  • Genetics 54
  • Rheumatology 51
  • Emergency Medicine 27
Replace S Furusawa with:
S Furusawa Japan
M. Dörner United States
Lanier H. Ayscue United States
J.H.F. Falkenburg Netherlands
Anne Arnould France
J. Ritterbach Germany
P. Martiat Belgium
M Teramura Japan
K Ohishi Japan
K-W Sykora Germany
A Pollak relative to S Furusawa Japan S Furusawa's profile →
Citations per field
00.5×1.5×1.9×
S Furusawa · 1×
Citations per year

Countries citing papers authored by A Pollak

Since Specialization
Citations

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

Fields of papers citing papers by A Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside A Pollak, 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 Pollak Line = papers co-authored together A Pollak links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1984119
2 1987103
3 198457
4
Diurnal variation of circulating human myeloid progenitor cells.
198031
5
Variation amongst K562 cell cultures.
198326
6 198413
7
Murine metabolism and disposition of iron:adriamycin complexes.
198312
8 19867
9 19876
10 19833
11
STUDIES OF SOME SUBSTANCES WITH ANTIVIRAL ACTIVITY. II. 2,4-DIOXO-5-THIAZOLIDINE ACETIC ACID DERIVATIVES (DFT) AS AN INHIBITOR OF GROWTH OF HERPES VIRUS AND POLIOVIRUS TYPE I IN CELL CULTURES OF HUMAN EMBRYONIC KIDNEYS.
19652

About A Pollak

A Pollak is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Molecular Biology and Rheumatology, having authored 11 papers that have together received 379 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Eosinophilic Disorders and Syndromes (2 papers), Protein purification and stability (1 paper), Biochemical Acid Research Studies (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (210 citations), Immunology (116 citations), Genetics (54 citations), Rheumatology (51 citations) and Emergency Medicine (27 citations). A Pollak has collaborated with scholars based in United States. Frequent co-authors include JR Testa, S Misawa, EJ Lee, CA Schiffer, Steven Fischkoff, Gerald J. Gleich, Joseph R. Testa, Donna E. Hogge, NZ Parsa and D D Ross. Their work appears in journals such as Blood, Journal of Clinical Oncology, International Journal of Cancer, The Journal of Experimental Medicine and PubMed.

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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