Martin Morgan

23.4k total citations · 5 hit papers
94 papers, 12.2k citations indexed

About

Martin Morgan is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Genetics. According to data from OpenAlex, Martin Morgan has authored 94 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Ecology, Evolution, Behavior and Systematics, 35 papers in Molecular Biology and 30 papers in Genetics. Recurrent topics in Martin Morgan's work include Plant and animal studies (34 papers), Ecology and Vegetation Dynamics Studies (25 papers) and Evolution and Genetic Dynamics (17 papers). Martin Morgan is often cited by papers focused on Plant and animal studies (34 papers), Ecology and Vegetation Dynamics Studies (25 papers) and Evolution and Genetic Dynamics (17 papers). Martin Morgan collaborates with scholars based in United States, Canada and South Africa. Martin Morgan's co-authors include Brian Charlesworth, Deborah Charlesworth, Michael Lawrence, Robert Gentleman, Hervé Pagès, Vincent J. Carey, Wolfgang Huber, Marc Carlson, Tia‐Lynn Ashman and William G. Wilson and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Martin Morgan

92 papers receiving 11.9k citations

Hit Papers

Software for Computing and Annota... 1993 2026 2004 2015 2013 1993 2004 2012 2019 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Morgan United States 47 5.6k 4.1k 3.8k 3.3k 1.8k 94 12.2k
Brant C. Faircloth United States 45 6.8k 1.2× 6.3k 1.5× 3.5k 0.9× 3.1k 1.0× 2.2k 1.2× 112 16.1k
Petr Danecek United Kingdom 17 8.1k 1.4× 8.5k 2.1× 1.7k 0.4× 4.4k 1.3× 834 0.5× 21 18.6k
Leif Andersson Sweden 79 6.9k 1.2× 13.8k 3.4× 1.5k 0.4× 2.8k 0.9× 699 0.4× 377 23.4k
William J. Murphy United States 54 5.6k 1.0× 4.6k 1.1× 2.3k 0.6× 1.7k 0.5× 619 0.3× 150 14.4k
Gerton Lunter United Kingdom 33 7.3k 1.3× 7.5k 1.8× 1.4k 0.4× 3.6k 1.1× 706 0.4× 78 15.5k
Helen Skaletsky United States 27 9.0k 1.6× 7.5k 1.8× 1.2k 0.3× 5.2k 1.6× 433 0.2× 45 18.2k
Itay Mayrose Israel 38 7.1k 1.3× 4.6k 1.1× 2.5k 0.7× 3.5k 1.1× 843 0.5× 81 13.2k
Jacques Rougemont Switzerland 38 5.7k 1.0× 1.9k 0.5× 2.1k 0.6× 3.0k 0.9× 526 0.3× 83 13.7k
Adam Auton United States 24 7.9k 1.4× 11.0k 2.7× 1.3k 0.4× 3.8k 1.1× 706 0.4× 34 19.4k
Hong Liu China 48 4.1k 0.7× 3.5k 0.8× 2.9k 0.8× 1.6k 0.5× 397 0.2× 233 12.8k

Countries citing papers authored by Martin Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Martin Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Morgan. A scholar is included among the top collaborators of Martin Morgan 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 Martin Morgan. Martin Morgan 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
1.
Liu, Qian, Qiang Hu, Song Liu, Alan D. Hutson, & Martin Morgan. (2024). ReUseData: an R/Bioconductor tool for reusable and reproducible genomic data management. BMC Bioinformatics. 25(1). 8–8. 1 indexed citations
2.
Righelli, Dario, Marcel Ramos, Ricard Argelaguet, et al.. (2023). Curated single cell multimodal landmark datasets for R/Bioconductor. PLoS Computational Biology. 19(8). e1011324–e1011324. 2 indexed citations
3.
Oh, Sehyun, Ludwig Geistlinger, Marcel Ramos, et al.. (2020). Reliable Analysis of Clinical Tumor-Only Whole-Exome Sequencing Data. JCO Clinical Cancer Informatics. 4(4). 321–335. 19 indexed citations
4.
Geistlinger, Ludwig, Gergely Csaba, Marcel Ramos, et al.. (2019). Toward a gold standard for benchmarking gene set enrichment analysis. Briefings in Bioinformatics. 22(1). 545–556. 77 indexed citations
5.
Rizvi, Abbas, Ezgi Karaesmen, Martin Morgan, et al.. (2018). gwasurvivr: an R package for genome-wide survival analysis. Bioinformatics. 35(11). 1968–1970. 71 indexed citations
6.
Ramos, Marcel, Lucas Schiffer, Angela Re, et al.. (2017). Software for the Integration of Multiomics Experiments in Bioconductor. Cancer Research. 77(21). e39–e42. 61 indexed citations
7.
Gorgos, Linda, Laura K. Sycuro, Sujatha Srinivasan, et al.. (2015). Relationship of Specific Bacteria in the Cervical and Vaginal Microbiotas With Cervicitis. Sexually Transmitted Diseases. 42(9). 475–481. 28 indexed citations
8.
Campbell, Kristin L., Karen E. Foster‐Schubert, Karen W. Makar, et al.. (2013). Gene Expression Changes in Adipose Tissue with Diet- and/or Exercise-Induced Weight Loss. Cancer Prevention Research. 6(3). 217–231. 53 indexed citations
9.
Srinivasan, Sujatha, Martin Morgan, Congzhou Liu, et al.. (2013). More Than Meets the Eye: Associations of Vaginal Bacteria with Gram Stain Morphotypes Using Molecular Phylogenetic Analysis. PLoS ONE. 8(10). e78633–e78633. 53 indexed citations
10.
Moser, Russell, Masafumi Toyoshima, Kristin Robinson, et al.. (2012). MYC-Driven Tumorigenesis Is Inhibited by WRN Syndrome Gene Deficiency. Molecular Cancer Research. 10(4). 535–545. 43 indexed citations
11.
Cao, Yi, Zizhen Yao, Deepayan Sarkar, et al.. (2010). Genome-wide MyoD Binding in Skeletal Muscle Cells: A Potential for Broad Cellular Reprogramming. Developmental Cell. 18(4). 662–674. 385 indexed citations
13.
Tang, Hua, Shweta Choudhry, Rui Mei, et al.. (2007). Recent Genetic Selection in the Ancestral Admixture of Puerto Ricans. The American Journal of Human Genetics. 81(3). 626–633. 130 indexed citations
14.
Morgan, Martin, et al.. (2003). Effects of natural rates of geitonogamy on fruit set in Asclepias speciosa (Apocynaceae): evidence favoring the plant's dilemma. American Journal of Botany. 90(12). 1746–1750. 38 indexed citations
15.
Garland, Theodore, Martin Morgan, John G. Swallow, et al.. (2002). EVOLUTION OF A SMALL-MUSCLE POLYMORPHISM IN LINES OF HOUSE MICE SELECTED FOR HIGH ACTIVITY LEVELS. Evolution. 56(6). 1267–1275. 132 indexed citations
16.
Morgan, Martin & Daniel J. Schoen. (1997). The role of theory in an emerging new plant reproductive biology. Trends in Ecology & Evolution. 12(6). 231–234. 49 indexed citations
17.
Schoen, Daniel J., Martin Morgan, & Thomas Bataillon. (1996). How does self-pollination evolve? Inferences from floral ecology and molecular genetic variation. Philosophical Transactions of the Royal Society B Biological Sciences. 351(1345). 1281–1290. 196 indexed citations
18.
Todd, Knox H., Jerome R. Hoffman, & Martin Morgan. (1996). Effect of Cardiologist ECG Review on Emergency Department Practice. Annals of Emergency Medicine. 27(1). 16–21. 40 indexed citations
19.
Charlesworth, Brian, Martin Morgan, & Deborah Charlesworth. (1993). The effect of deleterious mutations on neutral molecular variation.. Genetics. 134(4). 1289–1303. 1451 indexed citations breakdown →
20.
Charlesworth, Deborah, Martin Morgan, & Brian Charlesworth. (1992). The effect of linkage and population size on inbreeding depression due to mutational load. Genetics Research. 59(1). 49–61. 75 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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