Matthew W. Conklin
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques 4
- Cell Biology top 1%
- Cellular Mechanics and Interactions 4
- Immunology and Allergy top 2%
- Oncology top 2%
- Cancer Cells and Metastasis 5
- Cancer Research top 5%
- Breast Cancer Treatment Studies 8
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- AI in cancer detection 6
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- Ion channel regulation and function 6
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- Cardiac electrophysiology and arrhythmias 5
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Patricia J. KeelyKevin W. EliceiriPaolo P. ProvenzanoCarolyn PehlkeAndreas FriedlKristin M. RichingJens C. EickhoffJeremy S. Bredfeldt
- Journals
- Nature Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)The Journal of Physiology (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Matthew W. Conklin
35 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Biophysics 338
- Cell Biology 880
- Immunology and Allergy 299
- Oncology 1.1k
- Cancer Research 430
Countries citing papers authored by Matthew W. Conklin
This map shows the geographic impact of Matthew W. Conklin'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 Matthew W. Conklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew W. Conklin more than expected).
Fields of papers citing papers by Matthew W. Conklin
This network shows the impact of papers produced by Matthew W. Conklin. 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 Matthew W. Conklin. The network helps show where Matthew W. Conklin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew W. Conklin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 22 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 29 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 42 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 84 | |
| 8 | 2018 | 63 | |
| 9 | 2014 | 1 | |
| 10 | 2012 | 187 | |
| 11 | Aligned Collagen Is a Prognostic Signature for Survival in Human Breast Carcinomabreakdown → | 2011 | 987 |
| 12 | 2011 | 280 | |
| 13 | 2010 | 32 | |
| 14 | 2009 | 106 | |
| 15 | 2008 | 50 | |
| 16 | 2007 | 15 | |
| 17 | 2005 | 37 | |
| 18 | 2000 | 62 | |
| 19 | 1999 | 24 | |
| 20 | 1999 | 61 |
About Matthew W. Conklin
Matthew W. Conklin is a scholar working on Biophysics, Cancer Research and Immunology and Allergy, having authored 37 papers that have together received 3.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), AI in cancer detection (6 papers), Ion channel regulation and function (6 papers), Cancer Cells and Metastasis (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cellular Mechanics and Interactions (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Biophysics (338 citations), Cell Biology (880 citations) and Immunology and Allergy (299 citations). Matthew W. Conklin has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Patricia J. Keely, Kevin W. Eliceiri, Paolo P. Provenzano, Carolyn Pehlke, Andreas Friedl, Kristin M. Riching, Jens C. Eickhoff, Jeremy S. Bredfeldt, T Mackie and Roberto Coronado. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and The Journal of Physiology.
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.