Mark Edelstein

32 papers receiving 366 citations

Peers

Mark Edelstein
Comparison fields: 5 of 49
  • Modeling and Simulation 32
  • Oncology 124
  • Toxicology 28
  • Hematology 59
  • Molecular Biology 145
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Citations per year

Countries citing papers authored by Mark Edelstein

Since Specialization
Citations

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

Fields of papers citing papers by Mark Edelstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200250
2
Schedule-dependent synergism for the combination of 1-beta-D-arabinofuranosylcytosine and daunorubicin.
197443
3 198339
4 199338
5
The enhanced cytotoxicity of combinations of 1-beta-D-arabinofuranosylcytosine and methotrexate.
197533
6 199726
7 198425
8
In vivo DNA cross-linking by cyclophosphamide: comparison of human chronic lymphatic leukemia cells with mouse L1210 leukemia and normal bone marrow cells.
198924
9 197722
10 199622
11
The role of cell kinetics in cancer chemotherapy.
197721
12 19839
13 19788
14
Combined effect of cytosine arabinoside and thiopurines.
19766
15
Model studies in adjuvant chemotherapy.
19835
16 19855
17 19865
18 19865
19 19895
20 19834

About Mark Edelstein

Mark Edelstein is a scholar working on Hematology, Oncology, Modeling and Simulation, Toxicology and Molecular Biology, having authored 33 papers that have together received 424 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (10 papers), Acute Myeloid Leukemia Research (9 papers), Cancer Cells and Metastasis (8 papers), Mathematical Biology Tumor Growth (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Oncology (124 citations), Toxicology (28 citations), Hematology (59 citations) and Molecular Biology (145 citations). Mark Edelstein has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Teresa J. Vietti, Fred A. Valeriote, Frederick A. Valeriote, Luke M. Van Putten, Maha Hussain, Heinz‐Herbert Fiebig, Laurence H. Baker, Thomas H. Corbett, Peter Lelieveld and Joseph A. Fontana. Their work appears in journals such as Cancer Investigation, JNCI Journal of the National Cancer Institute, Blood, American Journal of Hematology and Recent results in cancer research.

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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