Ruth Amos

2.6k total citations
51 papers, 1.9k citations indexed

About

Ruth Amos is a scholar working on Spectroscopy, Computational Theory and Mathematics and Analytical Chemistry. According to data from OpenAlex, Ruth Amos has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 11 papers in Computational Theory and Mathematics and 10 papers in Analytical Chemistry. Recurrent topics in Ruth Amos's work include Analytical Chemistry and Chromatography (17 papers), Computational Drug Discovery Methods (11 papers) and Chromatography in Natural Products (8 papers). Ruth Amos is often cited by papers focused on Analytical Chemistry and Chromatography (17 papers), Computational Drug Discovery Methods (11 papers) and Chromatography in Natural Products (8 papers). Ruth Amos collaborates with scholars based in Australia, United Kingdom and United States. Ruth Amos's co-authors include Christopher A. Pohl, John W. Dolan, Paul R. Haddad, Roman Szücs, Mohammad Talebi, Maryam Taraji, Jason A. Smith, P. G. COEN, Subarna Chakravorty and Devin Rogers and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Ruth Amos

49 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruth Amos Australia 26 742 378 339 325 297 51 1.9k
Maurizio Remelli Italy 34 891 1.2× 1.2k 3.3× 213 0.6× 333 1.0× 521 1.8× 103 3.4k
Joanna Izabela Lachowicz Italy 29 251 0.3× 716 1.9× 93 0.3× 207 0.6× 833 2.8× 86 3.0k
Jürgen Gailer Canada 31 160 0.2× 358 0.9× 292 0.9× 103 0.3× 125 0.4× 96 2.6k
Rugang Zhong China 28 112 0.2× 982 2.6× 115 0.3× 255 0.8× 683 2.3× 181 2.7k
Daniel T. Peters United Kingdom 10 459 0.6× 421 1.1× 97 0.3× 63 0.2× 296 1.0× 29 1.8k
Kate Grudpan Thailand 32 739 1.0× 575 1.5× 1.2k 3.5× 1.0k 3.2× 98 0.3× 197 3.3k
Lucia Alderighi Italy 11 568 0.8× 368 1.0× 111 0.3× 37 0.1× 386 1.3× 13 1.9k
Yoshikazu Fujita Japan 17 418 0.6× 283 0.7× 462 1.4× 117 0.4× 286 1.0× 192 1.6k
Michael Groessl Switzerland 37 722 1.0× 1.2k 3.2× 283 0.8× 307 0.9× 2.0k 6.8× 88 4.5k
Bente Gammelgaard Denmark 34 492 0.7× 434 1.1× 809 2.4× 318 1.0× 132 0.4× 116 3.0k

Countries citing papers authored by Ruth Amos

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Amos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Amos

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth Amos. A scholar is included among the top collaborators of Ruth Amos 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 Ruth Amos. Ruth Amos 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.
Bakir, Adil, Marieke Desender, Nanne van Hoytema, et al.. (2020). Occurrence and abundance of meso and microplastics in sediment, surface waters, and marine biota from the South Pacific region. Marine Pollution Bulletin. 160. 111572–111572. 97 indexed citations
2.
Amos, Ruth & Andri Christodoulou. (2018). Really Working Scientifically: Strategies for Engaging Students with Socio-Scientific Inquiry-Based Learning (SSIBL).. ePrints Soton (University of Southampton). 100(371). 59–65. 2 indexed citations
3.
Amos, Ruth, Mohammad Talebi, Roman Szücs, et al.. (2018). Retention Index Prediction Using Quantitative Structure–Retention Relationships for Improving Structure Identification in Nontargeted Metabolomics. Analytical Chemistry. 90(15). 9434–9440. 39 indexed citations
4.
Talebi, Mohammad, Ruth Amos, Roman Szücs, et al.. (2018). Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model. Journal of Chromatography A. 1541. 1–11. 54 indexed citations
5.
6.
Taraji, Maryam, Paul R. Haddad, Ruth Amos, et al.. (2017). Error measures in quantitative structure-retention relationships studies. Journal of Chromatography A. 1524. 298–302. 40 indexed citations
7.
Taraji, Maryam, Paul R. Haddad, Ruth Amos, et al.. (2017). Chemometric-assisted method development in hydrophilic interaction liquid chromatography: A review. Analytica Chimica Acta. 1000. 20–40. 81 indexed citations
8.
9.
Park, Soo Hyun, Paul R. Haddad, Mohammad Talebi, et al.. (2016). Retention prediction of low molecular weight anions in ion chromatography based on quantitative structure-retention relationships applied to the linear solvent strength model. Journal of Chromatography A. 1486. 68–75. 29 indexed citations
10.
Talebi, Mohammad, Soo Hyun Park, Maryam Taraji, et al.. (2016). Retention Time Prediction Based on Molecular Structure in Pharmaceutical Method Development: A Perspective. LCGC North America. 34(8). 550–558. 9 indexed citations
11.
Tyteca, Eva, Mohammad Talebi, Ruth Amos, et al.. (2016). Towards a chromatographic similarity index to establish localized quantitative structure-retention models for retention prediction: Use of retention factor ratio. Journal of Chromatography A. 1486. 50–58. 33 indexed citations
12.
Taraji, Maryam, Paul R. Haddad, Ruth Amos, et al.. (2016). Prediction of retention in hydrophilic interaction liquid chromatography using solute molecular descriptors based on chemical structures. Journal of Chromatography A. 1486. 59–67. 47 indexed citations
13.
Amos, Ruth, Bun Chan, Sisi Zheng, et al.. (2014). Hydrogen from Formic Acid through Its Selective Disproportionation over Sodium Germanate—A Non‐Transition‐Metal Catalysis System. Angewandte Chemie International Edition. 53(42). 11275–11279. 11 indexed citations
14.
Amos, Ruth, et al.. (2012). The sustainable development of the London 2012 Olympic Park: a real controversy? 11- to 15-year-old students’ perspectives right from the scene. IOE EPrints. 1 indexed citations
15.
Levinson, Ralph, Michael Hand, & Ruth Amos. (2012). What constitutes high-quality discussion in science? Research from the perspectives on science course. School science review. 93(344). 114–120. 3 indexed citations
16.
Amos, Ruth, et al.. (2008). A mechanistic study on the oxidation of hydrazides: application to the tuberculosis drug isoniazid. Chemical Communications. 1695–1695. 40 indexed citations
17.
Amos, Ruth & Michael Reiß. (2006). What contribution can residential field courses make to the education of 11-14 year-olds. IOE EPrints. 12 indexed citations
18.
Levinson, Ralph, Jennifer Frost, & Ruth Amos. (2006). How do weekly mentor sessions and written lesson feedback support science beginning teachers in explaining complex science concepts. IOE EPrints. 1 indexed citations
19.
20.
Amos, Ruth. (1970). What Is the Place of Scientific Method in O-Level Biology Courses?.. Journal of Biological Education. 1 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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