M. Lans

538 citations
30 papers · 437 · h-index 13

Impact in

Papers in

M. Lans

29 papers receiving 422 citations

Peers

M. Lans
Comparison fields: 5 of 63
  • Cancer Research 107
  • Nutrition and Dietetics 92
  • Toxicology 16
  • Pharmacology 36
  • Biochemistry 26
Replace Keisuke Ozaki with:
Keisuke Ozaki Japan
Randall Rago United States
Ieharu Hishinuma Japan
Pamela DeLuca United States
Mei‐Due Yang Taiwan
Hirofumi Oka Japan
Satoshi Numoto Japan
Prashasnika Gehlot United States
Valérie Le Morvan France
Alf Wallin Sweden
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Citations per field
00.5×3.2×
Keisuke Ozaki · 1×
Citations per year

Countries citing papers authored by M. Lans

Since Specialization
Citations

This map shows the geographic impact of M. Lans'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 M. Lans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lans more than expected).

Fields of papers citing papers by M. Lans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Lans. 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 M. Lans. The network helps show where M. Lans may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Lans, 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 M. Lans Line = papers co-authored together M. Lans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198789
2 198349
3 198632
4 198831
5 198923
6 198923
7 198916
8
Comparison of the biological effects of phenobarbital and nafenopin on rat hepatocarcinogenesis.
198616
9 198815
10
Variations in serum alkaline DNase activity: a possible clinical test for therapeutic prognosis of human tumors.
198715
11
Serum alkaline deoxyribonuclease activity, a sensitive marker for the therapeutic monitoring of cancer patients: methodological aspects.
199314
12 198813
13 198413
14 199012
15 198912
16 198411
17 198710
18 19868
19 19837
20 19806

About M. Lans

M. Lans is a scholar working on Oncology, Molecular Biology, Cancer Research, Epidemiology and Pharmacology, having authored 30 papers that have together received 437 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Alkaline Phosphatase Research Studies (3 papers), Computational Drug Discovery Methods (2 papers), Sulfur Compounds in Biology (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cancer Research (107 citations), Nutrition and Dietetics (92 citations), Toxicology (16 citations), Pharmacology (36 citations) and Biochemistry (26 citations). M. Lans has collaborated with scholars based in Belgium and Sweden. Frequent co-authors include Marcel Roberfroid, Henryk Taper, H Taper, Véronique Préat, Marcel Roberfroid, J. L. Michaux, Magda Opsomer, R.M.E. Vos, J.H.M. Temmink and Peter J. van Bladeren. Their work appears in journals such as Carcinogenesis, International Journal of Cancer, Blood, Cancer and Toxicology.

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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