J. Lankelma
Impact in
- Oncology top 0.5%
- Drug Transport and Resistance Mechanisms
- Cancer Treatment and Pharmacology
- Colorectal Cancer Treatments and Studies
-
- Pharmacological Effects and Toxicity Studies
Papers in
- Oncology 54
- Drug Transport and Resistance Mechanisms 41
- Colorectal Cancer Treatments and Studies 7
- Cancer Treatment and Pharmacology 7
-
- Electron Spin Resonance Studies 6
- Co-authors
- Herbert M. PinedoH. PoppeHJ BroxtermanFrank BaasHenk DekkerH. M. PinedoRik J. ScheperH J Broxterman
- Journals
- British Journal of Cancer (12 papers)Biochemical Pharmacology (5 papers)International Journal of Cancer (4 papers)European Journal of Cancer (3 papers)Leukemia (3 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
J. Lankelma
77 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Oncology 3.4k
- Pediatrics, Perinatology and Child Health 1000
- Biochemistry 284
- Pharmacology 295
- Molecular Biology 2.0k
Countries citing papers authored by J. Lankelma
This map shows the geographic impact of J. Lankelma'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 J. Lankelma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Lankelma more than expected).
Fields of papers citing papers by J. Lankelma
This network shows the impact of papers produced by J. Lankelma. 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 J. Lankelma. The network helps show where J. Lankelma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Lankelma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 119 | |
| 2 | 2005 | 8 | |
| 3 | 1999 | 34 | |
| 4 | 1997 | 58 | |
| 5 | 1997 | 11 | |
| 6 | 1997 | 31 | |
| 7 | How to probe clinical tumor samples for P-glycoprotein and multidrug resistance protein | 1996 | 2 |
| 8 | 1996 | 9 | |
| 9 | 1996 | 47 | |
| 10 | 1994 | 9 | |
| 11 | 1993 | 128 | |
| 12 | 1992 | 24 | |
| 13 | 1992 | 19 | |
| 14 | 1991 | 18 | |
| 15 | 1990 | 4 | |
| 16 | 1989 | 92 | |
| 17 | 1988 | 30 | |
| 18 | 1988 | 60 | |
| 19 | 1987 | 72 | |
| 20 | 1987 | 6 |
About J. Lankelma
J. Lankelma is a scholar working on Oncology, Biophysics, Pediatrics, Perinatology and Child Health, Biochemistry and Infectious Diseases, having authored 77 papers that have together received 5.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (41 papers), Pharmacological Effects and Toxicity Studies (17 papers), HIV/AIDS drug development and treatment (13 papers), Cancer therapeutics and mechanisms (12 papers), Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (7 papers), Amino Acid Enzymes and Metabolism (6 papers) and Electron Spin Resonance Studies (6 papers). The work is most often cited by research in Oncology (3.4k citations), Pediatrics, Perinatology and Child Health (1000 citations), Biochemistry (284 citations), Pharmacology (295 citations) and Molecular Biology (2.0k citations). J. Lankelma has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Herbert M. Pinedo, H. Poppe, HJ Broxterman, Frank Baas, Henk Dekker, H. M. Pinedo, Rik J. Scheper, H J Broxterman, Marcel de Haas and N Feller. Their work appears in journals such as British Journal of Cancer, Biochemical Pharmacology, International Journal of Cancer, European Journal of Cancer and Leukemia.
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.