Michael Rackover

416 total citations
18 papers, 332 citations indexed

About

Michael Rackover is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Michael Rackover has authored 18 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Genetics. Recurrent topics in Michael Rackover's work include BRCA gene mutations in cancer (7 papers), Glioma Diagnosis and Treatment (5 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Michael Rackover is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Glioma Diagnosis and Treatment (5 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Michael Rackover collaborates with scholars based in United States and Canada. Michael Rackover's co-authors include Curtis Miyamoto, Luther W. Brady, Shimon Amir, Zenon Steplewski, Hans Bender, Constance Goldgar, Jacqueline Emrich, Jean Jenkins, Jeffrey S. Eshleman and Hilary Koprowski and has published in prestigious journals such as Neuroscience, International Journal of Radiation Oncology*Biology*Physics and Journal of Nursing Scholarship.

In The Last Decade

Michael Rackover

18 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Rackover United States 9 115 87 78 70 59 18 332
Paula Whitmire United States 7 42 0.4× 91 1.0× 43 0.6× 25 0.4× 134 2.3× 13 310
Xiaofeng Lin China 14 47 0.4× 307 3.5× 85 1.1× 33 0.5× 25 0.4× 34 494
Kasper Pedersen Denmark 9 126 1.1× 133 1.5× 177 2.3× 13 0.2× 31 0.5× 18 390
Zangdong He United States 12 153 1.3× 277 3.2× 286 3.7× 71 1.0× 33 0.6× 23 637
Daniel C. Rohrer United States 8 13 0.1× 115 1.3× 95 1.2× 100 1.4× 12 0.2× 11 382
Mirja Heikkinen Finland 9 29 0.3× 38 0.4× 163 2.1× 105 1.5× 8 0.1× 15 342
Miroslawa Nowak United States 9 72 0.6× 61 0.7× 81 1.0× 32 0.5× 46 0.8× 23 527
Ulrich Kronthaler Germany 11 95 0.8× 154 1.8× 37 0.5× 16 0.2× 131 2.2× 20 540
Lu Zhao China 11 35 0.3× 275 3.2× 238 3.1× 29 0.4× 15 0.3× 23 470

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-authorship network of co-authors of Michael Rackover

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Rackover. A scholar is included among the top collaborators of Michael Rackover 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 Michael Rackover. Michael Rackover is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Markoe, Arnold M., Luther W. Brady, David Woo, et al.. (2015). Treatment of Gastrointestinal Cancer Using Monoclonal Antibodies. Frontiers of radiation therapy and oncology. 24. 214–224. 1 indexed citations
2.
Roter, Debra, Emily Edelman, Susan Larson, et al.. (2012). Effects of online genetics education on physician assistant interviewing skills. JAAPA. 25(8). 34–34. 12 indexed citations
3.
Feero, W, Grace m. Kuo, Jean Jenkins, & Michael Rackover. (2012). Pharmacist education in the era of genomic medicine. Journal of the American Pharmacists Association. 52(5). e113–e121. 21 indexed citations
4.
Jerome-D’Emilia, Bonnie, Jean Jenkins, Constance Goldgar, et al.. (2011). Establishment of the Genetic/Genomic Competency Center for Education. Journal of Nursing Scholarship. 43(4). 351–358. 28 indexed citations
5.
Rackover, Michael, et al.. (2009). The role of genetic assessment in determining a patientʼs disease risk. JAAPA. 22(5). 62–63. 1 indexed citations
6.
Rackover, Michael & Constance Goldgar. (2009). Get ready for the brave new world of genetic medicine. JAAPA. 22(1). 60–62. 1 indexed citations
7.
Goldgar, Constance & Michael Rackover. (2008). Recommendations for a Physician Assistant Medical Genetics Curriculum. The Journal of Physician Assistant Education. 19(2). 30–36. 3 indexed citations
8.
Rackover, Michael, et al.. (2007). Establishing Essential Physician Assistant Clinical Competencies Guidelines for Genetics and Genomics. The Journal of Physician Assistant Education. 18(2). 47–48. 20 indexed citations
9.
Goldgar, Constance & Michael Rackover. (2007). Current Status of Genetics Education And Needs Assessment of Physician Assistant Programs: A Nationwide Survey. The Journal of Physician Assistant Education. 18(2). 53–59. 8 indexed citations
10.
Rackover, Michael, et al.. (2006). Genetic and Molecular Mechanisms of Health and Disease. The Journal of Physician Assistant Education. 17(1). 43–47. 3 indexed citations
11.
Rackover, Michael, Holly L. Peay, & Chantelle M. Wolpert. (2001). The Need for Genetic Literacy in Physician Assistants. The Journal of Physician Assistant Education. 12(2). 113–116. 2 indexed citations
12.
Amir, Shimon, et al.. (1997). Correspondence. Neuroscience. 77(3). 623–627. 46 indexed citations
13.
Miyamoto, Curtis, Luther W. Brady, Michael Rackover, et al.. (1996). The Use of Epidermal Growth Factor Receptor-425 Monoclonal Antibodies Radiolabeled with Iodine-125 in the Adjuvant Treatment of Patients with High Grade Gliomas of the Brain. Recent results in cancer research. 141. 183–192. 14 indexed citations
14.
Miyamoto, Curtis, Luther W. Brady, Michael Rackover, et al.. (1995). Utilization of 125I monoclonal antibody in the management of primary glioblastoma multiforme. Radiation Oncology Investigations. 3(3). 126–132. 8 indexed citations
15.
Miyamoto, Curtis, Hans Bender, Luther W. Brady, et al.. (1995). Epidermal Growth Factor Receptor 425 Monoclonal Antibodies Radiolabeled with Iodine-125 in the Adjuvant Treatment of High-Grade Astrocytomas. Hybridoma. 14(2). 111–114. 42 indexed citations
16.
Brady, Luther W., Curtis Miyamoto, David Woo, et al.. (1992). Malignant astrocytomas treated with iodine-125 labeled monoclonal antibody 425 against epidermal growth factor receptor: A phase II trial. International Journal of Radiation Oncology*Biology*Physics. 22(1). 225–230. 118 indexed citations
17.
Rackover, Michael, Jeffrey S. Eshleman, David Woo, et al.. (1992). Utilization of the radiolabeled mab 425/emd 55 900 in the management of high grade gliomas. International Journal of Radiation Oncology*Biology*Physics. 24. 310–310. 1 indexed citations
18.
Amendola, Beatriz E., Luther W. Brady, David Woo, et al.. (1990). Monoclonal Antibodies in the Treatment of Metastatic Carcinoma to the Liver. American Journal of Clinical Oncology. 13(2). 144–147. 3 indexed citations

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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