M. Lombard

985 citations
31 papers · 813 indexed · h-index 17
Topics
Chromosomal and Genetic Variations (17 papers)Genetic diversity and population structure (9 papers)Genomic variations and chromosomal abnormalities (8 papers)
Partner nations
FranceMaliRussia

In The Last Decade

M. Lombard

31 papers receiving 784 citations

Peers

M. Lombard
Comparison fields: 5 of 81
  • Genetics 465
  • Molecular Biology 432
  • Plant Science 355
  • Cancer Research 112
  • Paleontology 88
Replace Catherine E. Smith with:
Catherine E. Smith United States
M. Garcı́a Spain
W. Feichtinger Germany
Bee Ling Ng United Kingdom
Michaela Neusser Germany
A.M. Dutrillaux France
Cooduvalli S. Shashikant United States
J. Egozcue Spain
Junko Ishijima Japan
Tyler H. Garvin United States
M. Lombard relative to Catherine E. Smith United States Catherine E. Smith's profile →
Citations per field
00.5×1.5×2.0×
Catherine E. Smith · 1×
Citations per year

Countries citing papers authored by M. Lombard

Since Specialization
Citations

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

Fields of papers citing papers by M. Lombard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Lombard

This figure shows the co-authorship network connecting the top 25 collaborators of M. Lombard. A scholar is included among the top collaborators of M. Lombard 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. Lombard. M. Lombard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 54
2 35
3 33
4 20
5 41
6 35
7 11
8 22
9 60
10 10
11 53
12 13
13 12
14 22
15 25
16 50
17 10
18 8
19 35
20
[Chromosomal phylogeny of Gerbillidae. III. Species study of the genera Tatera, Taterillus, Psammomys and Pachyuromys].
16

About M. Lombard

M. Lombard is a scholar working on Genetics, Paleontology and Plant Science, having authored 31 papers that have together received 813 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (17 papers), Genetic diversity and population structure (9 papers) and Genomic variations and chromosomal abnormalities (8 papers). The work is most often cited by research in Genetics (465 citations), Paleontology (88 citations) and Plant Science (355 citations). M. Lombard has collaborated with scholars based in France, Mali and Russia. Frequent co-authors include Bernard Dutrillaux, B. Dutrillaux, F. Richard, Martine Muleris, V. Volobouev, Alain Aurias, J Couturier, M Prieur, E. Viégas-Pèquignot and Jacqueline Bernardino-Sgherri. Their work appears in journals such as Genome Research, International Journal of Cancer and Genomics.

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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