Nigel J. Clarke

4.0k total citations · 1 hit paper
68 papers, 2.7k citations indexed

About

Nigel J. Clarke is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology. According to data from OpenAlex, Nigel J. Clarke has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Physiology and 9 papers in Molecular Biology. Recurrent topics in Nigel J. Clarke's work include Hormonal and reproductive studies (10 papers), Mass Spectrometry Techniques and Applications (9 papers) and Alzheimer's disease research and treatments (7 papers). Nigel J. Clarke is often cited by papers focused on Hormonal and reproductive studies (10 papers), Mass Spectrometry Techniques and Applications (9 papers) and Alzheimer's disease research and treatments (7 papers). Nigel J. Clarke collaborates with scholars based in United States, United Kingdom and Germany. Nigel J. Clarke's co-authors include Richard E. Reitz, Frank Z. Stanczyk, Dennis M. Kochmann, Arturo J. Mateos, Julia R. Greer, Lucas R. Meza, Stephen Naylor, Wael Salameh, Michael P. Caulfield and Cory Bystrom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Nigel J. Clarke

68 papers receiving 2.6k citations

Hit Papers

Resilient 3D hierarchical architected metamaterials 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Nigel J. Clarke
John J. Brennan United States
Fan Li China
Yan Ma China
M. Suzuki Japan
Yan Liu China
John J. Brennan United States
Nigel J. Clarke
Citations per year, relative to Nigel J. Clarke Nigel J. Clarke (= 1×) peers John J. Brennan

Countries citing papers authored by Nigel J. Clarke

Since Specialization
Citations

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

Fields of papers citing papers by Nigel J. Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel J. Clarke. 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 Nigel J. Clarke. The network helps show where Nigel J. Clarke may publish in the future.

Co-authorship network of co-authors of Nigel J. Clarke

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel J. Clarke. A scholar is included among the top collaborators of Nigel J. Clarke 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 Nigel J. Clarke. Nigel J. Clarke 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.
2.
Kaufman, Harvey W., William A. Meyer, Nigel J. Clarke, et al.. (2023). Assessing Vulnerability to COVID-19 in High-Risk Populations: The Role of SARS-CoV-2 Spike-Targeted Serology. Population Health Management. 26(1). 29–36. 4 indexed citations
3.
Motorykin, Ievgen, et al.. (2023). Detection rate of IGF-1 variants and their implication to protein binding: study of over 240,000 patients. Clinical Chemistry and Laboratory Medicine (CCLM). 62(3). 484–492. 2 indexed citations
4.
Wu, Zengru, Kuanysh Kabytaev, Shawn Connolly, et al.. (2022). Critical need to assess modified and un-modified peptides in C-peptide standard materials. SHILAP Revista de lepidopterología. 26. 7–8. 1 indexed citations
5.
Cardozo, Karina Helena Morais, et al.. (2022). LC-MS/MS reduces interference by high levels of 25(OH)D and its metabolites on measured 1,25(OH)2D. Steroids. 187. 109095–109095. 4 indexed citations
6.
Yasun, Emir, et al.. (2019). Electrokinetic Mixing for Improving the Kinetics of an HbA1c Immunoassay. Scientific Reports. 9(1). 19885–19885. 6 indexed citations
7.
Goldberger, Amy, et al.. (2017). Clinical Testing for Titin and Ryanodine Receptor Autoantibodies in Myasthenia Gravis Patients (P1.123). Neurology. 88(16_supplement). 1 indexed citations
8.
Bonert, Vivien, John D. Carmichael, Zengru Wu, et al.. (2017). Discordance between mass spectrometry and immunometric IGF-1 assay in pituitary disease: a prospective study. Pituitary. 21(1). 65–75. 21 indexed citations
9.
10.
Hoare, Edward, et al.. (2014). Remote road surface identification using radar and ultrasonic sensors. University of Birmingham Research Portal (University of Birmingham). 185–188. 8 indexed citations
12.
Bystrom, Cory, et al.. (2012). Clinical Utility of Insulin-Like Growth Factor 1 and 2; Determination by High Resolution Mass Spectrometry. PLoS ONE. 7(9). e43457–e43457. 60 indexed citations
13.
Khorasaninejad, Mohammadreza, Nigel J. Clarke, M. P. Anantram, & Simarjeet S. Saini. (2011). Optical bio-chemical sensors on SNOW ring resonators. Optics Express. 19(18). 17575–17575. 18 indexed citations
14.
Stanczyk, Frank Z. & Nigel J. Clarke. (2010). Advantages and challenges of mass spectrometry assays for steroid hormones. The Journal of Steroid Biochemistry and Molecular Biology. 121(3-5). 491–495. 208 indexed citations
16.
Vesper, Hubert W., Shalender Bhasin, Christina Wang, et al.. (2009). Interlaboratory comparison study of serum total testoserone measurements performed by mass spectrometry methods. Steroids. 74(6). 498–503. 117 indexed citations
17.
Clarke, Nigel J. & Stephen Naylor. (2002). Capillary isoelectric focusing–mass spectrometry: analysis of protein mixtures from human body fluids. Biomedical Chromatography. 16(4). 287–297. 26 indexed citations
18.
Clarke, Nigel J., Frank W. Crow, Steven G. Younkin, & Stephen Naylor. (2001). Analysis of in Vivo-Derived Amyloid-β Polypeptides by On-Line Two-Dimensional Chromatography-Mass Spectrometry. Analytical Biochemistry. 298(1). 32–39. 16 indexed citations
20.
Clarke, Nigel J., Andy J. Tomlinson, Yasumasa Ohyagi, Steven G. Younkin, & Stephen Naylor. (1998). Detection and quantitation of cellularly derived amyloid β peptides by immunoprecipitation‐HPLC‐MS. FEBS Letters. 430(3). 419–423. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026