Michael Rackover

419 citations
18 papers · 366 · h-index 9

Impact in

    • Glioma Diagnosis and Treatment
    • BRCA gene mutations in cancer
    • Radiopharmaceutical Chemistry and Applications
    • Monoclonal and Polyclonal Antibodies Research
    • Medical Imaging Techniques and Applications

Papers in

    • BRCA gene mutations in cancer 7
    • Glioma Diagnosis and Treatment 5
    • Radiopharmaceutical Chemistry and Applications 4
    • Medical Imaging Techniques and Applications 3
    • Monoclonal and Polyclonal Antibodies Research 2
    • Radiomics and Machine Learning in Medical Imaging 1

Michael Rackover

18 papers receiving 347 citations

Peers

Michael Rackover
Comparison fields: 5 of 57
  • Genetics 63
  • Radiology, Nuclear Medicine and Imaging 120
  • Behavioral Neuroscience 19
  • Pharmacology 35
  • Endocrine and Autonomic Systems 24
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Colin D. Godwin United States
Alicia Roldán Argentina
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Citations per field
00.5×5×11.7×
Colin D. Godwin · 1×
Citations per year

Countries citing papers authored by Michael Rackover

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rackover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1992133
2 199749
3 199546
4 201130
5 200722
6 201221
7 199616
8 199512
9 201212
10 20078
11 19904
12 20063
13 20083
14 20152
15 20012
16 20091
17 20091
18 19921

About Michael Rackover

Michael Rackover is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Genetics, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 18 papers that have together received 366 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (7 papers), Glioma Diagnosis and Treatment (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Medical Imaging Techniques and Applications (3 papers), Innovations in Medical Education (3 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Genetics (63 citations), Radiology, Nuclear Medicine and Imaging (120 citations), Behavioral Neuroscience (19 citations), Pharmacology (35 citations) and Endocrine and Autonomic Systems (24 citations). Michael Rackover has collaborated with scholars based in United States and Canada. Frequent co-authors include Zenon Steplewski, Luther W. Brady, Curtis Miyamoto, Hans Bender, Shimon Amir, Jacqueline Emrich, Constance Goldgar, Jean Jenkins, David Woo and Hilary Koprowski. Their work appears in journals such as The Journal of Physician Assistant Education, JAAPA, International Journal of Radiation Oncology*Biology*Physics, Neuroscience and Journal of the American Pharmacists Association.

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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