L. Kun

21 papers receiving 1.4k citations

Peers

L. Kun
Comparison fields: 5 of 78
  • Genetics 613
  • Neurology 420
  • Hematology 241
  • Pediatrics, Perinatology and Child Health 294
  • Public Health, Environmental and Occupational Health 427
Replace R Nitschke with:
R Nitschke United States
J Bernard France
C. Edan France
Fabrizio Lombardi Italy
Odile Lejars France
G Paolucci Italy
Karin Dieckmann Austria
Jean Claude Gentet France
Mary Gerrard United Kingdom
Karen Marcus United States
L. Kun relative to R Nitschke United States R Nitschke's profile →
Citations per field
00.5×
R Nitschke · 1×
Citations per year

Countries citing papers authored by L. Kun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with L. Kun Line = papers co-authored together L. Kun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991306
2 1996254
3 1998187
4 1990166
5 1995112
6 201187
7 199870
8 201170
9 201166
10 201244
11 201339
12 199714
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.
199310
14 200310
15 19977
16 19925
17 19864
18 19963
19 20041
20 19881

About L. Kun

L. Kun is a scholar working on Genetics, Neurology, Ophthalmology, Pulmonary and Respiratory Medicine and Oncology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Neuroblastoma Research and Treatments (7 papers), Brain Metastases and Treatment (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Ocular Oncology and Treatments (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Genetics (613 citations), Neurology (420 citations), Hematology (241 citations), Pediatrics, Perinatology and Child Health (294 citations) and Public Health, Environmental and Occupational Health (427 citations). L. Kun has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include C B Pratt, M L Hancock, Gaston K. Rivera, James M. Boyett, Melissa M. Hudson, Marc E. Horowitz, Tina Young Poussaint, Robert B. Marcus, Thomas F. DeLaney and Leonard H. Wexler. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Pediatric Clinics of North America and Neurosurgery.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026