Michael Nash

3.7k total citations
55 papers, 1.6k citations indexed

About

Michael Nash is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Michael Nash has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Insect Science. Recurrent topics in Michael Nash's work include Force Microscopy Techniques and Applications (7 papers), Insect-Plant Interactions and Control (7 papers) and Biochemical and Structural Characterization (6 papers). Michael Nash is often cited by papers focused on Force Microscopy Techniques and Applications (7 papers), Insect-Plant Interactions and Control (7 papers) and Biochemical and Structural Characterization (6 papers). Michael Nash collaborates with scholars based in United States, Australia and Germany. Michael Nash's co-authors include Ary A. Hoffmann, Hermann E. Gaub, Ralph S. Freedman, Edward A. Bayer, Wolfgang Ott, Rachel Slatyer, Matthew P. Hill, Sarina Macfadyen, Adam D. Miller and Ellis Durner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Michael Nash

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Nash United States 25 549 313 189 186 183 55 1.6k
P. Gérard France 14 294 0.5× 85 0.3× 382 2.0× 64 0.3× 204 1.1× 37 1.5k
R. Guggenheim Switzerland 23 401 0.7× 61 0.2× 510 2.7× 80 0.4× 131 0.7× 92 1.9k
Vera Tai Canada 15 705 1.3× 60 0.2× 97 0.5× 77 0.4× 134 0.7× 32 2.0k
Jean‐Marc Frigério France 25 584 1.1× 114 0.4× 325 1.7× 24 0.1× 52 0.3× 64 1.8k
Kimberly L. Cooper United States 21 699 1.3× 44 0.1× 82 0.4× 83 0.4× 132 0.7× 62 1.5k
Tetyana Nosenko Germany 16 825 1.5× 81 0.3× 299 1.6× 28 0.2× 76 0.4× 22 2.9k
G.J. Morris United Kingdom 32 588 1.1× 37 0.1× 184 1.0× 39 0.2× 134 0.7× 59 2.5k
Eric Carlemalm Sweden 23 1.9k 3.4× 108 0.3× 179 0.9× 34 0.2× 68 0.4× 42 3.4k
John K. Critser United States 47 1.2k 2.2× 61 0.2× 447 2.4× 68 0.4× 56 0.3× 183 6.4k
Akira Yamanaka Japan 17 210 0.4× 119 0.4× 405 2.1× 99 0.5× 121 0.7× 97 1.4k

Countries citing papers authored by Michael Nash

Since Specialization
Citations

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

Fields of papers citing papers by Michael Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Nash

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Nash. A scholar is included among the top collaborators of Michael Nash 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 Michael Nash. Michael Nash 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.
Hu, Hang‐Wei, Keren Wu, Li Bi, et al.. (2024). An optimised molecular-based method for ecological study of tardigrades in soils. Soil Biology and Biochemistry. 199. 109597–109597.
2.
Singh, Amita, Steven Peters, David Tirschwell, et al.. (2022). Cerebral fat embolism syndrome at a single trauma center. Journal of Stroke and Cerebrovascular Diseases. 31(12). 106794–106794. 1 indexed citations
3.
Cazade, Pierre‐André, Adam Orłowski, Mateusz Chwastyk, et al.. (2018). Steered molecular dynamics simulations reveal the role of Ca2+in regulating mechanostability of cellulose-binding proteins. Physical Chemistry Chemical Physics. 20(35). 22674–22680. 13 indexed citations
4.
Rose, Lesilee S., et al.. (2018). Engineered Stochastic Adhesion Between Microbes as a Protection Mechanism Against Environmental Stress. Cellular and Molecular Bioengineering. 11(5). 367–382. 3 indexed citations
5.
Hill, Matthew P., Sarina Macfadyen, & Michael Nash. (2017). Broad spectrum pesticide application alters natural enemy communities and may facilitate secondary pest outbreaks. PeerJ. 5. e4179–e4179. 87 indexed citations
6.
Silberstein, Eldad, et al.. (2015). Lymph Node Metastasis in Cutaneous Head and Neck Squamous Cell Carcinoma. Dermatologic Surgery. 41(10). 1126–1129. 20 indexed citations
7.
Schoeler, Constantin, Rafael C. Bernardi, Klara H. Malinowska, et al.. (2015). Mapping Mechanical Force Propagation through Biomolecular Complexes. Nano Letters. 15(11). 7370–7376. 71 indexed citations
8.
Ott, Wolfgang, Markus Jobst, Lukas F. Milles, et al.. (2014). From genes to protein mechanics on a chip. Nature Methods. 11(11). 1127–1130. 62 indexed citations
9.
Nash, Michael, et al.. (2014). Comparative phylogeography of alpine invertebrates indicates deep lineage diversification and historical refugia in the Australian Alps. Journal of Biogeography. 42(1). 89–102. 35 indexed citations
10.
Schoeler, Constantin, Klara H. Malinowska, Rafael C. Bernardi, et al.. (2014). Ultrastable cellulosome-adhesion complex tightens under load. Nature Communications. 5(1). 5635–5635. 89 indexed citations
11.
Jobst, Markus, Constantin Schoeler, Klara H. Malinowska, & Michael Nash. (2013). Investigating Receptor-ligand Systems of the Cellulosome with AFM-based Single-molecule Force Spectroscopy. Journal of Visualized Experiments. e50950–e50950. 27 indexed citations
12.
Hoffmann, Ary A., K. Tracy Reynolds, Michael Nash, & Andrew R. Weeks. (2010). A high incidence of parthenogenesis in agricultural pests. Proceedings of the Royal Society B Biological Sciences. 278(1706). 799–800. 2 indexed citations
13.
Thomson, Linda J., et al.. (2009). Native grass covercrops can contribute to pest control in vineyards. 13(2). 54–58. 1 indexed citations
14.
Nash, Michael, Linda J. Thomson, Paul Horne, & Ary A. Hoffmann. (2008). Notonomus gravis (Chaudoir) (Coleoptera: Carabidae) predation of Deroceras reticulatum Müller (Gastropoda: Agriolimacidae), an example of fortuitous biological control. Biological Control. 47(3). 328–334. 11 indexed citations
15.
Nash, Michael, Linda J. Thomson, & Ary A. Hoffmann. (2007). Slug control in Australian canola: monitoring, molluscicidal baits and economic thresholds. Pest Management Science. 63(9). 851–859. 24 indexed citations
16.
Carroll, P.J., et al.. (2004). Perspectives and Resources. Science & Society. 68(3). 329–363. 1 indexed citations
17.
Gatot, Albert, et al.. (2000). Identification and typing of human papillomavirus (HPV) in squamous cell carcinoma of the oral cavity and oropharynx. The Journal of Laryngology & Otology. 114(1). 41–46. 28 indexed citations
18.
Nash, Michael, Gabriella Ferrandina, Mary E. Gordinier, Amy Loercher, & Ralph S. Freedman. (1999). The role of cytokines in both the normal and malignant ovary.. Endocrine Related Cancer. 6(1). 93–107. 107 indexed citations
19.
Nash, Michael, et al.. (1989). A developmental switch in sea urchin U1 RNA. Developmental Biology. 134(2). 289–296. 16 indexed citations
20.
Nash, Michael & William F. Marzluff. (1988). Structure of an unusual sea urchin U1 RNA gene cluster. Gene. 64(1). 53–63. 8 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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