Jacob I. Marsh

1.1k total citations
18 papers, 303 citations indexed

About

Jacob I. Marsh is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Jacob I. Marsh has authored 18 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 7 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Jacob I. Marsh's work include Legume Nitrogen Fixing Symbiosis (7 papers), Soybean genetics and cultivation (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Jacob I. Marsh is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (7 papers), Soybean genetics and cultivation (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Jacob I. Marsh collaborates with scholars based in Australia, United States and India. Jacob I. Marsh's co-authors include David Edwards, Philipp E. Bayer, Jacqueline Batley, Cassandria G. Tay Fernandez, Monica F. Danilevicz, Haifei Hu, Jakob Petereit, Henry T. Nguyen, Babu Valliyodan and William J. W. Thomas and has published in prestigious journals such as Bioinformatics, Genetics and The Plant Journal.

In The Last Decade

Jacob I. Marsh

17 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob I. Marsh Australia 8 252 95 92 19 10 18 303
Cassandria G. Tay Fernandez Australia 8 184 0.7× 105 1.1× 65 0.7× 10 0.5× 5 0.5× 18 236
Yosuke Kuroda Japan 11 284 1.1× 92 1.0× 104 1.1× 16 0.8× 10 1.0× 26 335
Changbin Yin China 5 220 0.9× 69 0.7× 101 1.1× 32 1.7× 7 0.7× 11 267
Xuebo Zhao China 4 217 0.9× 80 0.8× 103 1.1× 29 1.5× 4 0.4× 6 265
Chin Jian Yang United States 8 244 1.0× 72 0.8× 182 2.0× 27 1.4× 4 0.4× 14 286
Jyoti Singla Switzerland 4 241 1.0× 58 0.6× 50 0.5× 22 1.2× 5 0.5× 5 255
Kuohai Yu China 9 367 1.5× 140 1.5× 129 1.4× 63 3.3× 6 0.6× 11 407
Armando Espinoza Banda Mexico 4 202 0.8× 63 0.7× 135 1.5× 16 0.8× 6 0.6× 11 237
Shamseldeen Eltaher Egypt 8 322 1.3× 33 0.3× 165 1.8× 36 1.9× 8 0.8× 15 356

Countries citing papers authored by Jacob I. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Jacob I. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob I. Marsh. 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 Jacob I. Marsh. The network helps show where Jacob I. Marsh may publish in the future.

Co-authorship network of co-authors of Jacob I. Marsh

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

All Works

18 of 18 papers shown
1.
Marsh, Jacob I., et al.. (2025). Effects of rescaling forward-in-time population genetic simulations. Genetics. 232(2). 1 indexed citations
2.
Marsh, Jacob I., et al.. (2025). Towards an evolutionary baseline model of Plasmodium falciparum for population-genomic inference. bioRxiv (Cold Spring Harbor Laboratory).
3.
Marsh, Jacob I. & Parul Johri. (2024). Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection. Molecular Biology and Evolution. 41(7). 4 indexed citations
4.
Al-Mamun, Hawlader Abdullah, Jacob I. Marsh, Monica F. Danilevicz, et al.. (2024). Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybean. The Plant Genome. 17(4). e20528–e20528. 2 indexed citations
5.
Al-Mamun, Hawlader Abdullah, Monica F. Danilevicz, Jacob I. Marsh, Cedric Gondro, & David Edwards. (2024). Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large‐scale soybean dataset. The Plant Genome. 18(1). e20503–e20503. 1 indexed citations
6.
Derbyshire, Mark C., Jacob I. Marsh, Soodeh Tirnaz, et al.. (2023). Diversity of fatty acid biosynthesis genes across the soybean pangenome. The Plant Genome. 16(2). e20334–e20334. 5 indexed citations
7.
Marsh, Jacob I., Jakob Petereit, Cassandria G. Tay Fernandez, et al.. (2023). Legume‐wide comparative analysis of pod shatter locus PDH1 reveals phaseoloid specificity, high cowpea expression, and stress responsive genomic context. The Plant Journal. 115(1). 68–80. 12 indexed citations
8.
Marsh, Jacob I., Jakob Petereit, Philipp E. Bayer, et al.. (2023). crosshap: R package for local haplotype visualization for trait association analysis. Bioinformatics. 39(8). 3 indexed citations
9.
Marsh, Jacob I., Haifei Hu, Jakob Petereit, et al.. (2022). Haplotype mapping uncovers unexplored variation in wild and domesticated soybean at the major protein locus cqProt-003. Theoretical and Applied Genetics. 135(4). 1443–1455. 16 indexed citations
10.
Fernandez, Cassandria G. Tay, et al.. (2022). An SGSGeneloss-Based Method for Constructing a Gene Presence–Absence Table Using Mosdepth. Methods in molecular biology. 2512. 73–80. 6 indexed citations
11.
Marsh, Jacob I.. (2022). Linkage Disequilibrium Statistics and Block Visualization. Methods in molecular biology. 2443. 483–496. 1 indexed citations
12.
Tirnaz, Soodeh, et al.. (2022). Application of crop wild relatives in modern breeding: An overview of resources, experimental and computational methodologies. Frontiers in Plant Science. 13. 1008904–1008904. 28 indexed citations
13.
Petereit, Jakob, Jacob I. Marsh, Philipp E. Bayer, et al.. (2022). Genetic and Genomic Resources for Soybean Breeding Research. Plants. 11(9). 1181–1181. 9 indexed citations
14.
Petereit, Jakob, Cassandria G. Tay Fernandez, Jacob I. Marsh, et al.. (2022). Isolation and Sequencing of Chromosome Arm 7RS of Rye, Secale cereale. International Journal of Molecular Sciences. 23(19). 11106–11106. 1 indexed citations
15.
Fernandez, Cassandria G. Tay, Monica F. Danilevicz, Jacob I. Marsh, et al.. (2022). Expanding Gene-Editing Potential in Crop Improvement with Pangenomes. International Journal of Molecular Sciences. 23(4). 2276–2276. 17 indexed citations
16.
Marsh, Jacob I., et al.. (2021). Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics. Theoretical and Applied Genetics. 134(6). 1677–1690. 52 indexed citations
17.
Bayer, Philipp E., Babu Valliyodan, Haifei Hu, et al.. (2021). Sequencing the USDA core soybean collection reveals gene loss during domestication and breeding. The Plant Genome. 15(1). e20109–e20109. 67 indexed citations
18.
Danilevicz, Monica F., Cassandria G. Tay Fernandez, Jacob I. Marsh, Philipp E. Bayer, & David Edwards. (2020). Plant pangenomics: approaches, applications and advancements. Current Opinion in Plant Biology. 54. 18–25. 78 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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