M Loos

726 total citations
11 papers, 559 citations indexed

About

M Loos is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, M Loos has authored 11 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Genetics. Recurrent topics in M Loos's work include Carcinogens and Genotoxicity Assessment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). M Loos is often cited by papers focused on Carcinogens and Genotoxicity Assessment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). M Loos collaborates with scholars based in Belgium, Netherlands and France. M Loos's co-authors include P Stryckmans, André Sels, G. Huez, A.T. Natarajan, K. Sankaranarayanan, C. David, Roberta Meschini, M. F. Achard, A. Delforge and Danielle Baeyens‐Volant and has published in prestigious journals such as Blood, Journal of Colloid and Interface Science and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

In The Last Decade

M Loos

10 papers receiving 534 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M Loos Belgium 7 299 196 173 123 115 11 559
H. Kasparu Austria 10 249 0.8× 43 0.2× 167 1.0× 106 0.9× 63 0.5× 28 513
William J. Kell United Kingdom 7 556 1.9× 180 0.9× 325 1.9× 17 0.1× 39 0.3× 13 726
Sujata Chakraborty United States 10 272 0.9× 146 0.7× 286 1.7× 39 0.3× 17 0.1× 17 541
R Bailey-Wood United Kingdom 13 272 0.9× 70 0.4× 318 1.8× 55 0.4× 28 0.2× 23 682
Mei-Li Wen United States 9 166 0.6× 109 0.6× 94 0.5× 23 0.2× 30 0.3× 17 333
Kees Bol Netherlands 7 225 0.8× 89 0.5× 259 1.5× 28 0.2× 132 1.1× 10 537
George Giotopoulos United Kingdom 14 254 0.8× 39 0.2× 453 2.6× 123 1.0× 93 0.8× 24 678
Christopher Weier United States 9 105 0.4× 92 0.5× 257 1.5× 73 0.6× 27 0.2× 13 530
R Di Guglielmo Italy 9 253 0.8× 59 0.3× 160 0.9× 34 0.3× 34 0.3× 12 433
Josephine L. Klitgaard United States 7 108 0.4× 171 0.9× 178 1.0× 35 0.3× 28 0.2× 11 426

Countries citing papers authored by M Loos

Since Specialization
Citations

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

Fields of papers citing papers by M Loos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Loos

This figure shows the co-authorship network connecting the top 25 collaborators of M Loos. A scholar is included among the top collaborators of M Loos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Loos. M Loos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Loos, M, et al.. (1995). Detection of major bcr-abl gene expression at a very low level in blood cells of some healthy individuals. Blood. 86(8). 3118–3122. 20 indexed citations
2.
Loos, M, et al.. (1995). Detection of major bcr-abl gene expression at a very low level in blood cells of some healthy individuals. Blood. 86(8). 3118–3122. 356 indexed citations
3.
Eeken, J.C.J., et al.. (1994). The nature of X-ray-induced mutations in mature sperm and spermatogonial cells of Drosophila melanogaster. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 307(1). 201–212. 13 indexed citations
4.
Sankaranarayanan, K., et al.. (1990). Effects of sodium butyrate on X-Ray and bleomycin-induced chromosome aberrations in human peripheral blood lymphocytes. Genetics Research. 56(2-3). 267–276. 10 indexed citations
5.
Delforge, A., et al.. (1990). Influence of recombinant alpha and gamma interferons on the in vitro proliferation of myeloid and leukemic progenitors. European Journal Of Haematology. 44(5). 307–311. 10 indexed citations
6.
Loos, M, Danielle Baeyens‐Volant, C. David, G. Sigaud, & M. F. Achard. (1990). N-Substituted aldonamides. Journal of Colloid and Interface Science. 138(1). 128–133. 8 indexed citations
7.
Sankaranarayanan, K., et al.. (1989). Adaptive response of human lymphocytes to low-level radiation from radioisotopes or X-rays. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 211(1). 7–12. 133 indexed citations
8.
Loos, M, et al.. (1988). Het gezinsvermogen (1970-1987). Brussels economic review. 118. 219–236. 1 indexed citations
9.
Nasielski‐Hinkens, R., M. Kaisin, D. Grandjean, M Loos, & J. Nasielski. (1988). Nucleophilic substitutions on 2‐Chloro‐3‐Nitroquinoxaline. Bulletin des Sociétés Chimiques Belges. 97(11-12). 919–926. 4 indexed citations
11.
Delforge, A., et al.. (1986). Effect of alpha and gamma interferon on CFU-GM.. Blood. 67(1). 251–2. 1 indexed citations

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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