John S. Fletcher

7.6k total citations
192 papers, 5.7k citations indexed

About

John S. Fletcher is a scholar working on Computational Mechanics, Molecular Biology and Plant Science. According to data from OpenAlex, John S. Fletcher has authored 192 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computational Mechanics, 60 papers in Molecular Biology and 54 papers in Plant Science. Recurrent topics in John S. Fletcher's work include Ion-surface interactions and analysis (73 papers), Mass Spectrometry Techniques and Applications (38 papers) and Integrated Circuits and Semiconductor Failure Analysis (26 papers). John S. Fletcher is often cited by papers focused on Ion-surface interactions and analysis (73 papers), Mass Spectrometry Techniques and Applications (38 papers) and Integrated Circuits and Semiconductor Failure Analysis (26 papers). John S. Fletcher collaborates with scholars based in United States, United Kingdom and Sweden. John S. Fletcher's co-authors include John C. Vickerman, Nicholas P. Lockyer, Ramesh S. Hegde, Thomas Pfleeger, Sadia Rabbani, Alex Henderson, Tina B. Angerer, Seetharaman Vaidyanathan, Mary Beth Leigh and Andrew G. Ewing and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

John S. Fletcher

188 papers receiving 5.5k citations

Peers

John S. Fletcher

SPECT

POLLU

Bernhard Spengler Germany

P. John United Kingdom

U. Bahr Germany

Aleš Svatoš Germany

Henk Van As Netherlands

Seetharaman Vaidyanathan United Kingdom

Jentaie Shiea Taiwan

Brian D. Patterson United States

Douglas F. Barofsky United States

Subhash Chandra United States

Bernhard Spengler Germany

John S. Fletcher

1.5k ×0.7

5.7k ×3.3

SPECT

4.1k ×2.6

353 ×0.3

159 ×0.2

POLLU

Citations per year, relative to John S. Fletcher John S. Fletcher (= 1×) peers Bernhard Spengler

Countries citing papers authored by John S. Fletcher

Since Specialization

Citations

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

Fields of papers citing papers by John S. Fletcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Fletcher. 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 John S. Fletcher. The network helps show where John S. Fletcher may publish in the future.

Co-authorship network of co-authors of John S. Fletcher

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

All Works

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20 of 20 papers shown

Thoma, Johannes, et al.. (2026). Secondary ion yield enhancement for lipids in frozen hydrated lymphoma tissue samples using water cluster SIMS. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 44(1).

Beretta, Chiara, Fredrik Rosqvist, John S. Fletcher, et al.. (2025). Astrocytic lipid droplets contain MHCII and may act as cogs in the antigen presentation machinery. Journal of Neuroinflammation. 22(1). 117–117.

Ernst, Carl, et al.. (2025). Plasma Membrane Lipid Composition and Turnover in Human Midbrain Neurons Investigated by Time-of-Flight Mass Spectrometry. Biomolecules. 15(12). 1650–1650.

Neittaanmäki, Noora, et al.. (2025). Mapping the Molecular Landscape of Human DLBCL by GCIB-SIMS. Analytical Chemistry. 97(13). 7186–7194. 1 indexed citations

Neittaanmäki, Noora, et al.. (2024). ToF‐SIMS imaging reveals changes in tumor cell lipids during metastatic progression of melanoma. Pigment Cell & Melanoma Research. 37(6). 793–800. 5 indexed citations

He, Xiulan, et al.. (2023). Correlative Cellular Mass Spectrometry Imaging and Amperometry Show Dose Dependent Changes in Lipid Composition and Exocytosis. Angewandte Chemie International Edition. 62(15). e202217993–e202217993. 9 indexed citations

Fletcher, John S., et al.. (2023). Cell and tissue imaging by secondary ion mass spectrometry. Biointerphases. 18(6). 3 indexed citations

Kaya, Ibrahim, et al.. (2021). (CO2)n+, (H2O)n+, and (H2O)n+ (CO2) gas cluster ion beam secondary ion mass spectrometry: analysis of lipid extracts, cells, and Alzheimer’s model mouse brain tissue. Analytical and Bioanalytical Chemistry. 413(16). 4181–4194. 13 indexed citations

Kaya, Ibrahim, et al.. (2020). Multimodal MALDI Imaging Mass Spectrometry Reveals Spatially Correlated Lipid and Protein Changes in Mouse Heart with Acute Myocardial Infarction. Journal of the American Society for Mass Spectrometry. 31(10). 2133–2142. 33 indexed citations

10.

Aoyagi, Satoka, et al.. (2013). Peptide structural analysis using continuous Ar cluster and C60 ion beams. Analytical and Bioanalytical Chemistry. 405(21). 6621–6628. 24 indexed citations

11.

Fletcher, John S., John C. Vickerman, & Nicholas Winograd. (2011). Label free biochemical 2D and 3D imaging using secondary ion mass spectrometry. Current Opinion in Chemical Biology. 15(5). 733–740. 70 indexed citations

12.

Vaidyanathan, Seetharaman, John S. Fletcher, Roger M. Jarvis, et al.. (2009). Explanatory multivariate analysis of ToF-SIMS spectra for the discrimination of bacterial isolates. The Analyst. 134(11). 2352–2352. 10 indexed citations

13.

Fletcher, John S. & John C. Vickerman. (2009). A new SIMS paradigm for 2D and 3D molecular imaging of bio-systems. Analytical and Bioanalytical Chemistry. 396(1). 85–104. 79 indexed citations

14.

Donnelly, Paula K. & John S. Fletcher. (1995). PCB metabolism by ectomycorrhizal fungi. Bulletin of Environmental Contamination and Toxicology. 54(4). 507–13. 36 indexed citations

15.

Fletcher, John S., et al.. (1988). The influence of increasing chlorine content on the accumulation and metabolism of polychlorinated biphenyls (PCBs) by Paul's Scarlet Rose cells. Plant Cell Reports. 7(5). 329–332. 20 indexed citations

16.

Muhitch, Michael J. & John S. Fletcher. (1985). Influence of Culture Age and Spermidine Treatment on the Accumulation of Phenolic Compounds in Suspension Cultures. PLANT PHYSIOLOGY. 78(1). 25–28. 23 indexed citations

17.

Beevers, Leonard, et al.. (1983). Studies on the Nitrate Reductase Activities of the Fruit and the Source Leaf in Pepper. HortScience. 18(6). 903–905. 1 indexed citations

18.

Fletcher, John S., et al.. (1982). The Influence of Shade on the Growth and Nitrogen Assimilation of Developing Fruits on Bell Pepper1. HortScience. 17(4). 635–637. 4 indexed citations

19.

Fletcher, John S.. (1975). Control of Amino Acid Synthesis in Tissue Culture Cells. PLANT PHYSIOLOGY. 56(3). 450–451. 4 indexed citations

20.

Fletcher, John S., et al.. (1972). Minimal organic medium for suspension cultures of Paul's scarlet rose. Planta. 106(2). 173–176. 37 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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