James W. Lightfoot

1.1k total citations
25 papers, 740 citations indexed

About

James W. Lightfoot is a scholar working on Aging, Molecular Biology and Genetics. According to data from OpenAlex, James W. Lightfoot has authored 25 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aging, 10 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in James W. Lightfoot's work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Nematode management and characterization studies (5 papers) and DNA Repair Mechanisms (4 papers). James W. Lightfoot is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (14 papers), Nematode management and characterization studies (5 papers) and DNA Repair Mechanisms (4 papers). James W. Lightfoot collaborates with scholars based in Germany, United Kingdom and United States. James W. Lightfoot's co-authors include Ralf J. Sommer, Consuelo Barroso, Enrique Martínez-Pérez, Hanh Witte, Christian Rödelsperger, Vladislav Susoy, Anne M. Villeneuve, Eduardo Moreno, Abby F. Dernburg and Mara Schvarzstein and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

James W. Lightfoot

24 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James W. Lightfoot Germany 16 396 309 188 153 153 25 740
Spencer S. Gang United States 12 491 1.2× 138 0.4× 124 0.7× 225 1.5× 95 0.6× 18 862
Fabien Duveau United States 11 499 1.3× 302 1.0× 114 0.6× 60 0.4× 318 2.1× 14 816
J M Rossi United States 7 701 1.8× 120 0.4× 72 0.4× 199 1.3× 117 0.8× 8 855
Jonathan Crissman United States 9 156 0.4× 224 0.7× 76 0.4× 56 0.4× 280 1.8× 9 532
Asif Chinwalla United States 8 271 0.7× 215 0.7× 260 1.4× 136 0.9× 152 1.0× 13 596
Adrian Halme United States 8 430 1.1× 39 0.1× 108 0.6× 43 0.3× 81 0.5× 9 637
Maria C. Ow United States 14 766 1.9× 332 1.1× 73 0.4× 182 1.2× 318 2.1× 21 1.0k
David M. Rivers United States 12 366 0.9× 65 0.2× 43 0.2× 51 0.3× 52 0.3× 12 518
Josefa Steinhauer United States 13 268 0.7× 32 0.1× 55 0.3× 38 0.2× 148 1.0× 17 480
Paul Fox United States 9 415 1.0× 279 0.9× 152 0.8× 28 0.2× 106 0.7× 13 666

Countries citing papers authored by James W. Lightfoot

Since Specialization
Citations

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

Fields of papers citing papers by James W. Lightfoot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Lightfoot. 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 James W. Lightfoot. The network helps show where James W. Lightfoot may publish in the future.

Co-authorship network of co-authors of James W. Lightfoot

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Lightfoot. A scholar is included among the top collaborators of James W. Lightfoot 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 James W. Lightfoot. James W. Lightfoot 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.
Okumura, Misako, et al.. (2026). Predatory aggression evolved through adaptations to noradrenergic circuits. Nature. 651(8104). 154–163.
2.
Alexander, Morgan R., et al.. (2025). Surface Lipids in Nematodes are Influenced by Development and Species-specific Adaptations. Journal of the American Chemical Society. 147(8). 6439–6449. 2 indexed citations
3.
Witte, Hanh, et al.. (2023). Divergent combinations of cis-regulatory elements control the evolution of phenotypic plasticity. PLoS Biology. 21(8). e3002270–e3002270. 14 indexed citations
4.
Lightfoot, James W., et al.. (2023). Kin-recognition and predation shape collective behaviors in the cannibalistic nematode Pristionchus pacificus. PLoS Genetics. 19(12). e1011056–e1011056. 8 indexed citations
5.
Han, Ziduan, et al.. (2022). Genomic integration of transgenes using UV irradiation in Pristionchus pacificus. PubMed. 2022. 2 indexed citations
6.
Lightfoot, James W., et al.. (2021). Sex or cannibalism: Polyphenism and kin recognition control social action strategies in nematodes. Science Advances. 7(35). 18 indexed citations
7.
Lightfoot, James W., Waltraud Röseler, Hanh Witte, et al.. (2020). Bacterial vitamin B12 production enhances nematode predatory behavior. The ISME Journal. 14(6). 1494–1507. 34 indexed citations
8.
Sieriebriennikov, Bogdan, Shuai Sun, James W. Lightfoot, et al.. (2020). Conserved nuclear hormone receptors controlling a novel plastic trait target fast-evolving genes expressed in a single cell. PLoS Genetics. 16(4). e1008687–e1008687. 45 indexed citations
9.
Han, Ziduan, Wen‐Sui Lo, James W. Lightfoot, et al.. (2020). Improving Transgenesis Efficiency and CRISPR-Associated Tools Through Codon Optimization and Native Intron Addition in Pristionchus Nematodes. Genetics. 216(4). 947–956. 38 indexed citations
10.
Lightfoot, James W., Christian Rödelsperger, Eduardo Moreno, et al.. (2019). Small peptide–mediated self-recognition prevents cannibalism in predatory nematodes. Science. 364(6435). 86–89. 75 indexed citations
11.
Lightfoot, James W., et al.. (2016). Assaying Predatory Feeding Behaviors in <em>Pristionchus</em> and Other Nematodes. Journal of Visualized Experiments. 9 indexed citations
12.
Lightfoot, James W., Veeren M. Chauhan, Jonathan W. Aylott, & Christian Rödelsperger. (2016). Comparative transcriptomics of the nematode gut identifies global shifts in feeding mode and pathogen susceptibility. BMC Research Notes. 9(1). 142–142. 19 indexed citations
13.
Gao, Jinmin, Consuelo Barroso, Pan Zhang, et al.. (2016). N-terminal acetylation promotes synaptonemal complex assembly in C. elegans. Genes & Development. 30(21). 2404–2416. 32 indexed citations
14.
Truscott, Mary, Abul Bashar Mir Md. Khademul Islam, James W. Lightfoot, Núria López-Bigas, & Maxim V. Frolov. (2014). An Intronic microRNA Links Rb/E2F and EGFR Signaling. PLoS Genetics. 10(7). e1004493–e1004493. 21 indexed citations
15.
Silva, Nicola, Nuria Ferrándiz, Consuelo Barroso, et al.. (2014). The Fidelity of Synaptonemal Complex Assembly Is Regulated by a Signaling Mechanism that Controls Early Meiotic Progression. Developmental Cell. 31(4). 503–511. 36 indexed citations
16.
Barroso, Consuelo, James W. Lightfoot, Thomas Müller‐Reichert, et al.. (2013). Chromosome Movements Promoted by the Mitochondrial Protein SPD-3 Are Required for Homology Search during Caenorhabditis elegans Meiosis. PLoS Genetics. 9(5). e1003497–e1003497. 32 indexed citations
17.
Lightfoot, James W., et al.. (2012). Novel use of a disposable digital pressure transducer to increase the safety of pericardiocentesis. Catheterization and Cardiovascular Interventions. 81(1). E68–71. 1 indexed citations
18.
Lightfoot, James W., et al.. (2011). Loading of Meiotic Cohesin by SCC-2 Is Required for Early Processing of DSBs and for the DNA Damage Checkpoint. Current Biology. 21(17). 1421–1430. 48 indexed citations
19.
Martínez-Pérez, Enrique, Mara Schvarzstein, Consuelo Barroso, et al.. (2008). Crossovers trigger a remodeling of meiotic chromosome axis composition that is linked to two-step loss of sister chromatid cohesion. Genes & Development. 22(20). 2886–2901. 124 indexed citations
20.

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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