Nathan E. Schroeder

654 total citations
35 papers, 424 citations indexed

About

Nathan E. Schroeder is a scholar working on Aging, Plant Science and Ecology. According to data from OpenAlex, Nathan E. Schroeder has authored 35 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aging, 16 papers in Plant Science and 7 papers in Ecology. Recurrent topics in Nathan E. Schroeder's work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Nematode management and characterization studies (16 papers) and Circadian rhythm and melatonin (5 papers). Nathan E. Schroeder is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (18 papers), Nematode management and characterization studies (16 papers) and Circadian rhythm and melatonin (5 papers). Nathan E. Schroeder collaborates with scholars based in United States, Vietnam and Philippines. Nathan E. Schroeder's co-authors include A. E. MacGuidwin, Ziduan Han, Junho Lee, Maureen M. Barr, Ricardo Oliva, Buyung Hadi, Meera V. Sundaram, Jennifer D. Cohen, Kathleen M. Giangiacomo and Theodore J. Mullmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Nathan E. Schroeder

34 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan E. Schroeder United States 13 179 128 126 89 54 35 424
Ralph Clover United States 3 164 0.9× 83 0.6× 177 1.4× 39 0.4× 184 3.4× 3 608
Yu Shen China 9 157 0.9× 25 0.2× 175 1.4× 112 1.3× 18 0.3× 20 432
Maria J. Gravato‐Nobre United Kingdom 13 461 2.6× 139 1.1× 326 2.6× 137 1.5× 51 0.9× 23 772
Frederick A. Partridge United Kingdom 12 173 1.0× 47 0.4× 101 0.8× 58 0.7× 104 1.9× 19 441
Hannah S. Seidel United States 13 449 2.5× 164 1.3× 499 4.0× 100 1.1× 57 1.1× 16 928
S.J. Alexander-Bowman United States 11 81 0.5× 142 1.1× 126 1.0× 36 0.4× 77 1.4× 12 377
C.A. Winterrowd United States 13 107 0.6× 89 0.7× 170 1.3× 33 0.4× 216 4.0× 16 584
C. Li United States 9 267 1.5× 35 0.3× 151 1.2× 145 1.6× 43 0.8× 9 404
Ramesh Ratnappan United States 12 357 2.0× 116 0.9× 352 2.8× 102 1.1× 86 1.6× 18 914
Luke M. Noble United States 10 192 1.1× 101 0.8× 155 1.2× 27 0.3× 35 0.6× 18 378

Countries citing papers authored by Nathan E. Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Nathan E. Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan E. Schroeder. 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 Nathan E. Schroeder. The network helps show where Nathan E. Schroeder may publish in the future.

Co-authorship network of co-authors of Nathan E. Schroeder

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan E. Schroeder. A scholar is included among the top collaborators of Nathan E. Schroeder 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 Nathan E. Schroeder. Nathan E. Schroeder 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.
Ambros, Victor, Martin Chalfie, Andrew Fire, et al.. (2025). From nematode to Nobel: How community-shared resources fueled the rise of Caenorhabditis elegans as a research organism. Proceedings of the National Academy of Sciences. 122(48). e2522808122–e2522808122. 1 indexed citations
2.
Li, Nan, David S. Bullock, Laura F. Gentry, et al.. (2023). Distinct soil health indicators are associated with variation in maize yield and tile drain nitrate losses. Soil Science Society of America Journal. 87(6). 1332–1347. 1 indexed citations
3.
Kleczewski, Nathan M., et al.. (2023). Effect of Fluopyram on Pratylenchus penetrans on Corn in the Field and In Vitro. Plant Disease. 108(2). 342–347. 2 indexed citations
4.
Han, Ziduan, et al.. (2023). GABA Immunoreactivity and Pharmacological Effects vary Among Stylet-Bearing Nematodes. Journal of Nematology. 55(1). 20230049–20230049. 1 indexed citations
5.
Airs, Paul M., et al.. (2022). Spatial transcriptomics reveals antiparasitic targets associated with essential behaviors in the human parasite Brugia malayi. PLoS Pathogens. 18(4). e1010399–e1010399. 17 indexed citations
6.
7.
Schroeder, Nathan E., et al.. (2021). A Survey of Plant-Parasitic Nematodes in Illinois Corn Fields, 2018 and 2020. Plant Health Progress. 22(4). 560–564. 9 indexed citations
8.
Schroeder, Nathan E., et al.. (2020). Mutually exclusive dendritic arbors in C. elegans neurons share a common architecture and convergent molecular cues. PLoS Genetics. 16(9). e1009029–e1009029. 8 indexed citations
9.
Schroeder, Nathan E., et al.. (2019). Convergent evolution of saccate body shapes in nematodes through distinct developmental mechanisms. EvoDevo. 10(1). 5–5. 4 indexed citations
10.
Ray, Simon, et al.. (2019). Physical exertion exacerbates decline in the musculature of an animal model of Duchenne muscular dystrophy. Proceedings of the National Academy of Sciences. 116(9). 3508–3517. 13 indexed citations
11.
Cohen, Jennifer D., et al.. (2018). Epidermal Remodeling in Caenorhabditis elegans Dauers Requires the Nidogen Domain Protein DEX-1. Genetics. 211(1). 169–183. 11 indexed citations
12.
Han, Ziduan, et al.. (2018). Immobility in the sedentary plant-parasitic nematode H. glycines is associated with remodeling of neuromuscular tissue. PLoS Pathogens. 14(8). e1007198–e1007198. 8 indexed citations
13.
Schroeder, Nathan E., et al.. (2018). Postembryonic Ventral Nerve Cord Development and Gonad Migration in Steinernema carpocapsae. Journal of Nematology. 50(1). 27–32. 2 indexed citations
14.
Han, Ziduan, et al.. (2016). Unexpected Variation in Neuroanatomy among Diverse Nematode Species. Frontiers in Neuroanatomy. 9. 162–162. 23 indexed citations
15.
Schroeder, Nathan E., et al.. (2014). <em>In Vivo </em>Imaging of Dauer-specific Neuronal Remodeling in <em>C. elegans</em>. Journal of Visualized Experiments. e51834–e51834. 14 indexed citations
16.
Schroeder, Nathan E. & A. E. MacGuidwin. (2010). Mortality and behavior in Heterodera glycines juveniles following exposure to isothiocyanate compounds.. PubMed. 42(3). 194–200. 8 indexed citations
17.
Schroeder, Nathan E. & A. E. MacGuidwin. (2010). Behavioural quiescence reduces the penetration and toxicity of exogenous compounds in second-stage juveniles of Heterodera glycines. Nematology. 12(2). 277–287. 16 indexed citations
18.
Schroeder, Nathan E. & A. E. MacGuidwin. (2007). Incorporation of a Fluorescent Compound by Live Heterodera glycines.. PubMed. 39(1). 43–9. 8 indexed citations
19.
Schroeder, Nathan E., et al.. (2002). Glycine 30 in iberiotoxin is a critical determinant of its specificity for maxi‐K versus KV channels. FEBS Letters. 527(1-3). 298–302. 18 indexed citations
20.
Schroeder, Nathan E., et al.. (1997). 21. MAG3 failure is due to inadvertent oxidant contamination. Nuclear Medicine Communications. 18(4). 294–294. 4 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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