John P. Nolan

22.6k total citations · 2 hit papers
87 papers, 6.7k citations indexed

About

John P. Nolan is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, John P. Nolan has authored 87 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 29 papers in Biomedical Engineering and 17 papers in Biophysics. Recurrent topics in John P. Nolan's work include Single-cell and spatial transcriptomics (23 papers), Microfluidic and Bio-sensing Technologies (18 papers) and Extracellular vesicles in disease (15 papers). John P. Nolan is often cited by papers focused on Single-cell and spatial transcriptomics (23 papers), Microfluidic and Bio-sensing Technologies (18 papers) and Extracellular vesicles in disease (15 papers). John P. Nolan collaborates with scholars based in United States, China and Germany. John P. Nolan's co-authors include Seiya Imoto, Satoru Miyano, Michiel de Hoon, Larry A. Sklar, Roy H. Hammerstedt, James K. Graham, E. Duggan, Henry H Sherk, Samuel A. Stoner and Steven W. Graves and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

John P. Nolan

87 papers receiving 6.6k citations

Hit Papers

Open source clustering software 1990 2026 2002 2014 2004 1990 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John P. Nolan United States 36 4.0k 1.3k 765 722 572 87 6.7k
Harm H. Kampinga Netherlands 65 9.6k 2.4× 892 0.7× 566 0.7× 332 0.5× 371 0.6× 232 13.6k
Rong Li United States 58 7.5k 1.8× 631 0.5× 552 0.7× 669 0.9× 1.4k 2.5× 210 11.4k
John F. McDonald United States 53 4.9k 1.2× 1.5k 1.2× 1.0k 1.4× 181 0.3× 2.1k 3.6× 190 9.2k
Wojciech Gorczyca United States 33 4.0k 1.0× 269 0.2× 541 0.7× 606 0.8× 192 0.3× 120 7.2k
David G. Spiller United Kingdom 48 4.4k 1.1× 751 0.6× 940 1.2× 249 0.3× 245 0.4× 142 7.7k
Laura M. Machesky United Kingdom 68 7.9k 2.0× 1.0k 0.8× 866 1.1× 244 0.3× 522 0.9× 199 15.9k
David J. Meyer United States 52 4.9k 1.2× 623 0.5× 769 1.0× 703 1.0× 641 1.1× 225 9.6k
Ulf Landegren Sweden 51 10.1k 2.5× 2.2k 1.7× 1.3k 1.7× 329 0.5× 453 0.8× 192 14.3k
John D. Lewis Canada 39 2.4k 0.6× 698 0.5× 525 0.7× 148 0.2× 360 0.6× 122 4.5k
David W. Speicher United States 72 12.6k 3.1× 1.3k 1.0× 1.4k 1.9× 574 0.8× 524 0.9× 278 19.3k

Countries citing papers authored by John P. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by John P. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Nolan

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Nolan. A scholar is included among the top collaborators of John P. Nolan 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 P. Nolan. John P. Nolan 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.
Yan, Wei, Minghui Cao, Xianhui Ruan, et al.. (2022). Cancer-cell-secreted miR-122 suppresses O-GlcNAcylation to promote skeletal muscle proteolysis. Nature Cell Biology. 24(5). 793–804. 56 indexed citations
2.
Nolan, John P., Daniel T. Chiu, & Joshua A Welsh. (2022). Rigor and reproducibility: status and challenges for single vesicle analysis. PubMed. 2(3). 227–231. 1 indexed citations
3.
Crooks, Emma T., E. Duggan, Jinsong Zhang, et al.. (2021). Engineering well-expressed, V2-immunofocusing HIV-1 envelope glycoprotein membrane trimers for use in heterologous prime-boost vaccine regimens. PLoS Pathogens. 17(10). e1009807–e1009807. 8 indexed citations
4.
Nolan, John P., Nick Russell, Ian Firth, & Tim Ibell. (2019). Viewpoint. There is more to a flower than a STEM. The Structural Engineer. 97(1). 40–41. 1 indexed citations
5.
Hoffman, Ann F., John P. Nolan, David F. Gebhard, et al.. (2018). Society of Biomolecular Imaging and Informatics High-Content Screening/High-Content Analysis Emerging Technologies in Biological Models, When and Why?. Assay and Drug Development Technologies. 16(1). 1–6. 3 indexed citations
6.
Akers, Johnny, Valya Ramakrishnan, John P. Nolan, et al.. (2016). Comparative Analysis of Technologies for Quantifying Extracellular Vesicles (EVs) in Clinical Cerebrospinal Fluids (CSF). PLoS ONE. 11(2). e0149866–e0149866. 107 indexed citations
7.
Speir, Jeffrey A., Ivan Razinkov, Anchi Cheng, et al.. (2015). Multiplexed TEM Specimen Preparation and Analysis of Plasmonic Nanoparticles. Microscopy and Microanalysis. 21(4). 1017–1025. 11 indexed citations
8.
Orjuela-Sánchez, Pamela, E. Duggan, John P. Nolan, John A. Frangos, & Leonardo J. M. Carvalho. (2012). A lactate dehydrogenase ELISA-based assay for the in vitro determination of Plasmodium berghei sensitivity to anti-malarial drugs. Malaria Journal. 11(1). 366–366. 13 indexed citations
9.
Nolan, John P. & David S. Sebba. (2011). Surface-Enhanced Raman Scattering (SERS) Cytometry. Methods in cell biology. 102. 515–532. 34 indexed citations
10.
Chen, Jun, Jianhong Zhou, Claire K. Sanders, John P. Nolan, & Hong Cai. (2009). A surface display yeast two-hybrid screening system for high-throughput protein interactome mapping. Analytical Biochemistry. 390(1). 29–37. 15 indexed citations
11.
Chen, Jun, Jianhong Zhou, Weon Bae, et al.. (2008). A yEGFP‐based reporter system for high‐throughput yeast two‐hybrid assay by flow cytometry. Cytometry Part A. 73A(4). 312–320. 19 indexed citations
12.
Heyde, Henri C. van der, James M. Burns, William P. Weidanz, et al.. (2007). Analysis of antigen‐specific antibodies and their isotypes in experimental malaria. Cytometry Part A. 71A(4). 242–250. 10 indexed citations
13.
Nolan, John P. & Laurence Yang. (2007). The flow of cytometry into systems biology. Briefings in Functional Genomics and Proteomics. 6(2). 81–90. 14 indexed citations
14.
Nolan, John P. & Francis Mandy. (2006). Multiplexed and microparticle‐based analyses: Quantitative tools for the large‐scale analysis of biological systems. Cytometry Part A. 69A(5). 318–325. 96 indexed citations
15.
Hoon, Michiel de, Seiya Imoto, John P. Nolan, & Satoru Miyano. (2004). Open source clustering software. Bioinformatics. 20(9). 1453–1454. 2429 indexed citations breakdown →
16.
Lauer, Sabine A. & John P. Nolan. (2002). Development and characterization of Ni‐NTA‐bearing microspheres. Cytometry. 48(3). 136–145. 49 indexed citations
17.
Nolan, John P. & Larry A. Sklar. (2002). Suspension array technology: evolution of the flat-array paradigm. Trends in biotechnology. 20(1). 9–12. 300 indexed citations
19.
Qiu, Junzhuan, et al.. (1998). Partial Functional Deficiency of E160D Flap Endonuclease-1 Mutantin Vitro and in Vivo Is Due to Defective Cleavage of DNA Substrates. Journal of Biological Chemistry. 273(49). 33064–33072. 38 indexed citations
20.
Hammerstedt, Roy H., James K. Graham, & John P. Nolan. (1990). Cryopreservation of Mammalian Sperm: What We Ask Them to Survive. Journal of Andrology. 11(1). 73–88. 557 indexed citations breakdown →

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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