Michael Rackover

416 citations
18 papers · 332 · h-index 9

Impact in

Papers in

Michael Rackover

18 papers receiving 324 citations

Peers

Michael Rackover
Comparison fields: 5 of 65
  • Behavioral Neuroscience 21
  • Genetics 59
  • Radiology, Nuclear Medicine and Imaging 115
  • Pharmacology 35
  • Endocrine and Autonomic Systems 21
Replace Lu Zhao with:
Lu Zhao China
Hironobu Sasano Japan
Colin D. Godwin United States
Miroslawa Nowak United States
Paula Whitmire United States
Birte K. Skrumsager Denmark
Vasudha Sehgal United States
Grace Lin United States
Shashikant Patel India
Benoît Hosten France
Michael Rackover relative to Lu Zhao China Lu Zhao's profile →
Citations per field
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Lu Zhao · 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 1992118
2 199746
3 199542
4 201128
5 201221
6 200720
7 199614
8 201212
9 19958
10 20078
11 19903
12 20063
13 20083
14 20012
15 20091
16 20091
17 20151
18 19921

About Michael Rackover

Michael Rackover is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 332 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), Innovations in Medical Education (3 papers), Medical Imaging Techniques and Applications (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Interprofessional Education and Collaboration (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (21 citations), Genetics (59 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Pharmacology (35 citations) and Endocrine and Autonomic Systems (21 citations). Michael Rackover has collaborated with scholars based in United States and Canada. Frequent co-authors include Luther W. Brady, Shimon Amir, Zenon Steplewski, Hans Bender, Curtis Miyamoto, Jacqueline Emrich, Constance Goldgar, Jean Jenkins, Simin Dadparvar and W Feero. 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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