Martin Lott

2.8k citations
14 papers · 1.8k indexed · 1 hit paper · h-index 8

Impact in

Papers in

Martin Lott

14 papers receiving 1.7k citations

Hit Papers

RDP3: a flexible and fast computer program for analyzing recombination 2010 · 1.4k citations
1.4k20102026201520204008001.2k

Peers

Martin Lott
Comparison fields: 5 of 93
  • Endocrinology 286
  • Horticulture 40
  • Animal Science and Zoology 231
  • Plant Science 791
  • Virology 95
Replace Darren P. Martin with:
Darren P. Martin South Africa
A.A. Brunt United Kingdom
Mark J. Gibbs Australia
Israel Pagán Spain
Malla Padidam United States
J. Scott Armstrong United States
M. J. Adams United Kingdom
Wan-Xiang Li United States
Mathieu Fourment Australia
Hélène Sanfaçon Canada
Martin Lott relative to Darren P. Martin South Africa Darren P. Martin's profile →
Citations per field
00.5×1.5×1.8×
Darren P. Martin · 1×
Citations per year

Countries citing papers authored by Martin Lott

Since Specialization
Citations

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

Fields of papers citing papers by Martin Lott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 20234
2 20237
3 20221
4 20224
5 20225
6 20151
7 201356
8 201132
9
RDP3: a flexible and fast computer program for analyzing recombination
Hit paper breakdown →
20101447
10 200954
11 200931
12 200930
13 200812
14 200670

About Martin Lott

Martin Lott is a scholar working on Molecular Medicine, Virology, Endocrinology, Infectious Diseases and Molecular Biology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (4 papers), RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers), Antibiotic Resistance in Bacteria (2 papers), Genetic diversity and population structure (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Endocrinology (286 citations), Horticulture (40 citations), Animal Science and Zoology (231 citations), Plant Science (791 citations) and Virology (95 citations). Martin Lott has collaborated with scholars based in United Kingdom, Sweden and South Africa. Frequent co-authors include Vincent Moulton, Philippe Lemey, Darren P. Martin, Pierre Lefeuvre, David Posada, Katharina T. Huber, Bengt Oxelman, Andreas Spillner, I. Michael Wormstone and Hanruo Liu. Their work appears in journals such as Bioinformatics, Antibiotics, BMC Microbiology, Scientific Reports and Human Molecular Genetics.

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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