Z Arlin

3.5k total citations
71 papers, 2.8k citations indexed

About

Z Arlin is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Z Arlin has authored 71 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hematology, 22 papers in Genetics and 17 papers in Molecular Biology. Recurrent topics in Z Arlin's work include Acute Myeloid Leukemia Research (27 papers), Chronic Lymphocytic Leukemia Research (19 papers) and Chronic Myeloid Leukemia Treatments (19 papers). Z Arlin is often cited by papers focused on Acute Myeloid Leukemia Research (27 papers), Chronic Lymphocytic Leukemia Research (19 papers) and Chronic Myeloid Leukemia Treatments (19 papers). Z Arlin collaborates with scholars based in United States, India and Australia. Z Arlin's co-authors include Toby Gee, Sanford Kempin, B Clarkson, Eric J. Feldman, Howard T. Thaler, Abraham Mittelman, Steven Grant, Claudio Basilico, Pier Giuseppe Pelicci and Paul A. Luciw and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Z Arlin

71 papers receiving 2.6k citations

Peers

Z Arlin
Comparison fields: 5 of 95
  • Hematology 1.7k
  • Genetics 820
  • Oncology 766
  • Public Health, Environmental and Occupational Health 766
  • Molecular Biology 725
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Citations per field, relative to Z Arlin
Z Arlin · 1×
Citations per year, relative to Z Arlin
Z Arlin · 1×

Countries citing papers authored by Z Arlin

Since Specialization
Citations

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

Fields of papers citing papers by Z Arlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z Arlin

This figure shows the co-authorship network connecting the top 25 collaborators of Z Arlin. A scholar is included among the top collaborators of Z Arlin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Z Arlin. Z Arlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 49
2 17
3 1
4 2
5 146
6 73
7
Differential effect of interleukin 3 on the metabolism of high-dose cytosine arabinoside in normal versus leukemic human bone marrow cells.
9
8 53
9 100
10 6
11
Human immunodeficiency virus infections: considerations for health care workers.
17
12
Continuously Administered 2',2'-Difluorodeoxycytidine (Dfdc) and Deoxycytidine (Dcyd) - a Potentially Selective Cyto-Toxic Regimen Toward Human-Leukemic Myeloid Progenitors in Culture
2
13 12
14
Effect of deoxycytidine on the metabolism and cytotoxicity of 5-aza-2'-deoxycytidine and arabinosyl 5-azacytosine in normal and leukemic human myeloid progenitor cells.
6
15 217
16 74
17 2
18 21
19 3
20
Metabolism of 1-beta-D-arabinofuranosylcytosine in human leukemic cells.
94

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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