John P. Nolan
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
- Biophysics top 0.5%
Papers in
-
- Single-cell and spatial transcriptomics 20
- Extracellular vesicles in disease 15
- Advanced Biosensing Techniques and Applications 13
- Advanced biosensing and bioanalysis techniques 11
-
- Microfluidic and Bio-sensing Technologies 15
- Biosensors and Analytical Detection 9
- Co-authors
- Satoru Miyano (1 shared paper)Michiel de Hoon (1 shared paper)Seiya Imoto (1 shared paper)Larry A. Sklar (13 shared papers)Roy H. Hammerstedt (3 shared papers)James K. Graham (1 shared paper)E. Duggan (14 shared papers)Henry H Sherk (2 shared papers)
- Journals
- Cytometry Part A (17 papers)Cytometry (7 papers)Current Protocols in Cytometry (5 papers)PLoS ONE (2 papers)ACS Nano (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
John P. Nolan
87 papers receiving 6.6k citations
John P. Nolan's Hit Papers
Peers
Comparison fields: 5 of 180
- Reproductive Medicine 562
- Biophysics 404
- Molecular Biology 3.8k
- Cancer Research 686
- Physiology 176
Countries citing papers authored by John P. Nolan
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
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-authors
The 25 scholars most cited alongside John P. Nolan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Open source clustering software Hit paper breakdown → | 2004 | 2439 |
| 2 | Cryopreservation of Mammalian Sperm: What We Ask Them to Survive Hit paper breakdown → | 1990 | 559 |
| 3 | 2002 | 301 | |
| 4 | 2006 | 178 | |
| 5 | 2014 | 178 | |
| 6 | 1988 | 169 | |
| 7 | 2014 | 169 | |
| 8 | 2015 | 160 | |
| 9 | 2015 | 129 | |
| 10 | 2016 | 109 | |
| 11 | 2013 | 101 | |
| 12 | 2006 | 96 | |
| 13 | 1998 | 96 | |
| 14 | 1996 | 95 | |
| 15 | 2017 | 94 | |
| 16 | 2008 | 93 | |
| 17 | 2000 | 93 | |
| 18 | 2015 | 91 | |
| 19 | 1999 | 86 | |
| 20 | 2012 | 68 |
About John P. Nolan
John P. Nolan is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Cancer Research and Electronic, Optical and Magnetic Materials, having authored 87 papers that have together received 6.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (20 papers), Microfluidic and Bio-sensing Technologies (15 papers), Extracellular vesicles in disease (15 papers), Advanced Biosensing Techniques and Applications (13 papers), Advanced biosensing and bioanalysis techniques (11 papers), Biosensors and Analytical Detection (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Reproductive Medicine (562 citations), Biophysics (404 citations), Molecular Biology (3.8k citations), Cancer Research (686 citations) and Physiology (176 citations). John P. Nolan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Satoru Miyano, Michiel de Hoon, Seiya Imoto, Larry A. Sklar, Roy H. Hammerstedt, James K. Graham, E. Duggan, Henry H Sherk, Samuel A. Stoner and Steven W. Graves. Their work appears in journals such as Cytometry Part A, Cytometry, Current Protocols in Cytometry, PLoS ONE and ACS Nano.
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.