Michael Arbushites

2.2k citations
32 papers · 1.7k indexed · h-index 15

Impact in

  • Oncology top 2%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • HER2/EGFR in Cancer Research 20
    • Cancer Treatment and Pharmacology 12

Michael Arbushites

31 papers receiving 1.6k citations

Peers

Michael Arbushites
Comparison fields: 5 of 77
  • Oncology 1.2k
  • Hematology 319
  • Genetics 268
  • Radiology, Nuclear Medicine and Imaging 423
  • Cancer Research 257
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Suhail M. Ali United States
Remy B. Verheijen Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Michael Arbushites

Since Specialization
Citations

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

Fields of papers citing papers by Michael Arbushites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 202072
3 2020173
4 201913
5 201854
6 20183
7 201271
8 201136
9 2009144
10 2009136
11 200912
12 20090
13 200912
14 2008345
15 2008134
16 20088
17 200816
18 20083
19 200710
20 20072

About Michael Arbushites

Michael Arbushites is a scholar working on Genetics, Oncology, Hematology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (20 papers), Cancer Treatment and Pharmacology (12 papers), Advanced Breast Cancer Therapies (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Oncology (1.2k citations), Hematology (319 citations), Genetics (268 citations), Radiology, Nuclear Medicine and Imaging (423 citations) and Cancer Research (257 citations). Michael Arbushites has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Angelo Di Leo, María Koehler, Michael F. Press, Richard S. Finn, Steven H. Stein, Cristina Oliva, Judy Dering, Henry Gómez, Zeba Aziz and Lisa S. Williams. Their work appears in journals such as Journal of Clinical Oncology, Blood, Clinical Cancer Research, Biology of Blood and Marrow Transplantation and Molecular 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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