Kim Kramer
Impact in
Papers in
- Co-authors
- Nai‐Kong V. Cheung (114 shared papers)Brian H. Kushner (103 shared papers)Shakeel Modak (74 shared papers)Michael P. LaQuaglia (31 shared papers)Steven M. Larson (28 shared papers)Irene Y. Cheung (17 shared papers)Glenn Heller (11 shared papers)Suzanne L. Wolden (29 shared papers)
- Journals
- Journal of Clinical Oncology (33 papers)Pediatric Blood & Cancer (23 papers)Cancer (13 papers)Neuro-Oncology (10 papers)International Journal of Cancer (6 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Kim Kramer
163 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 108
- Neurology 3.2k
- Genetics 668
- Oncology 1.3k
- Cancer Research 688
- Immunology 485
Countries citing papers authored by Kim Kramer
This map shows the geographic impact of Kim Kramer'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 Kim Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Kramer more than expected).
Fields of papers citing papers by Kim Kramer
This network shows the impact of papers produced by Kim Kramer. 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 Kim Kramer. The network helps show where Kim Kramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Kramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 218 | |
| 2 | 2012 | 209 | |
| 3 | 2009 | 195 | |
| 4 | 2001 | 169 | |
| 5 | 1998 | 162 | |
| 6 | Monoclonal antibody 8H9 targets a novel cell surface antigen expressed by a wide spectrum of human solid tumors. | 2001 | 132 |
| 7 | 2005 | 131 | |
| 8 | 2004 | 127 | |
| 9 | 2001 | 122 | |
| 10 | 2007 | 115 | |
| 11 | 2006 | 115 | |
| 12 | 2014 | 115 | |
| 13 | 2001 | 109 | |
| 14 | 2001 | 108 | |
| 15 | Neuroblastoma metastatic to the central nervous system. The Memorial Sloan-kettering Cancer Center Experience and A Literature Review. | 2001 | 104 |
| 16 | 2006 | 104 | |
| 17 | 2001 | 103 | |
| 18 | 2004 | 99 | |
| 19 | Pharmacokinetics, dosimetry, and toxicity of the targetable atomic generator, 225Ac-HuM195, in nonhuman primates. | 2004 | 98 |
| 20 | 2005 | 94 |
About Kim Kramer
Kim Kramer is a scholar working on Neurology, Genetics, Oncology, Molecular Biology and Cancer Research, having authored 173 papers that have together received 5.6k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (110 papers), Glioma Diagnosis and Treatment (31 papers), Lung Cancer Research Studies (20 papers), Cancer, Hypoxia, and Metabolism (17 papers), Cancer therapeutics and mechanisms (16 papers), Radiopharmaceutical Chemistry and Applications (16 papers), Brain Metastases and Treatment (10 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Neurology (3.2k citations), Genetics (668 citations), Oncology (1.3k citations), Cancer Research (688 citations) and Immunology (485 citations). Kim Kramer has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Nai‐Kong V. Cheung, Brian H. Kushner, Shakeel Modak, Michael P. LaQuaglia, Steven M. Larson, Irene Y. Cheung, Glenn Heller, Suzanne L. Wolden, William L. Gerald and Mark M. Souweidane. Their work appears in journals such as Journal of Clinical Oncology, Pediatric Blood & Cancer, Cancer, Neuro-Oncology and International Journal of Cancer.
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.