L. Kun
Impact in
Papers in
- Genetics 12
- Glioma Diagnosis and Treatment 12
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- Neuroblastoma Research and Treatments 5
- Co-authors
- C B Pratt (4 shared papers)Melissa M. Hudson (3 shared papers)M L Hancock (2 shared papers)Gaston K. Rivera (2 shared papers)James M. Boyett (5 shared papers)Marc E. Horowitz (3 shared papers)Tina Young Poussaint (5 shared papers)Robert B. Marcus (1 shared paper)
- Journals
- Neuro-Oncology (6 papers)Journal of Clinical Oncology (5 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)Neurosurgery (1 paper)The Lancet (1 paper)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
L. Kun
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 67
- Genetics 479
- Neurology 288
- Hematology 181
- Public Health, Environmental and Occupational Health 360
- Pulmonary and Respiratory Medicine 326
Countries citing papers authored by L. Kun
This map shows the geographic impact of L. Kun'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 L. Kun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Kun more than expected).
Fields of papers citing papers by L. Kun
This network shows the impact of papers produced by L. Kun. 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 L. Kun. The network helps show where L. Kun may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Kun, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 307 | |
| 2 | 1996 | 255 | |
| 3 | 1998 | 187 | |
| 4 | 1995 | 112 | |
| 5 | 2008 | 94 | |
| 6 | 2011 | 87 | |
| 7 | 1998 | 70 | |
| 8 | 2011 | 70 | |
| 9 | 2011 | 66 | |
| 10 | 2012 | 44 | |
| 11 | 2013 | 40 | |
| 12 | 1997 | 14 | |
| 13 | Anti-pan T lymphocyte ricin A chain immunotoxin (H65-RTA) and methylprednisolone for acute GVHD prophylaxis following allogeneic BMT from HLA-identical sibling donors. | 1993 | 10 |
| 14 | 2003 | 10 | |
| 15 | 1997 | 7 | |
| 16 | 1992 | 5 | |
| 17 | 1986 | 4 | |
| 18 | 1996 | 3 | |
| 19 | 2015 | 1 | |
| 20 | 1988 | 1 |
About L. Kun
L. Kun is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Oncology and Ophthalmology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Neuroblastoma Research and Treatments (5 papers), Sarcoma Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Brain Metastases and Treatment (2 papers), Ocular Oncology and Treatments (2 papers) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Genetics (479 citations), Neurology (288 citations), Hematology (181 citations), Public Health, Environmental and Occupational Health (360 citations) and Pulmonary and Respiratory Medicine (326 citations). L. Kun has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include C B Pratt, Melissa M. Hudson, M L Hancock, Gaston K. Rivera, James M. Boyett, Marc E. Horowitz, Tina Young Poussaint, Robert B. Marcus, John F. Kuttesch and Diane L. Fairclough. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Neurosurgery and The Lancet.
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.