Marian Kelley
- Immunology top 5%
- Biosimilars and Bioanalytical Methods 15
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- Monoclonal and Polyclonal Antibodies Research 6
- Hematology top 5%
- Erythropoietin and Anemia Treatment 3
- Molecular Biology top 10%
- Advanced Biosensing Techniques and Applications 11
- Protein purification and stability 4
- Statistics and Probability top 5%
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- Computational Drug Discovery Methods 3
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- HER2/EGFR in Cancer Research 2
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- Cell Image Analysis Techniques 2
- Co-authors
- Binodh DeSilvaRussell WeinerRichard TaceyBenjamin LeeMasood Mehmood KhanAbbie CelnikerHoward HillWendell C. Smith
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Marian Kelley
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Immunology 910
- Radiology, Nuclear Medicine and Imaging 555
- Hematology 158
- Molecular Biology 774
- Statistics and Probability 85
Countries citing papers authored by Marian Kelley
This map shows the geographic impact of Marian Kelley'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 Marian Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Kelley more than expected).
Fields of papers citing papers by Marian Kelley
This network shows the impact of papers produced by Marian Kelley. 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 Marian Kelley. The network helps show where Marian Kelley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marian Kelley, 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 | 2016 | 1 | |
| 2 | 2015 | 2 | |
| 3 | 2014 | 4 | |
| 4 | 2014 | 1 | |
| 5 | CONSENSUS AND RECOMMENDATION OF THE L1 GLOBAL HARMONIZATION TEAM ON RUN ACCEPTANCE FOR LARGE MOLECULE BIOANALYSIS TO SUPPORT PHARMACOKINETICS | 2014 | 0 |
| 6 | 2013 | 16 | |
| 7 | 2013 | 47 | |
| 8 | 2011 | 195 | |
| 9 | 2011 | 8 | |
| 10 | 2009 | 208 | |
| 11 | 2007 | 107 | |
| 12 | 2007 | 161 | |
| 13 | 2005 | 25 | |
| 14 | 2005 | 86 | |
| 15 | 2004 | 54 | |
| 16 | 2003 | 447 | |
| 17 | 2003 | 48 | |
| 18 | 1995 | 66 | |
| 19 | 1994 | 8 | |
| 20 | 1991 | 2 |
About Marian Kelley
Marian Kelley is a scholar working on Immunology, Biophysics and Hematology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (15 papers), Advanced Biosensing Techniques and Applications (11 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Protein purification and stability (4 papers), Erythropoietin and Anemia Treatment (3 papers), Computational Drug Discovery Methods (3 papers), HER2/EGFR in Cancer Research (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Immunology (910 citations), Radiology, Nuclear Medicine and Imaging (555 citations) and Hematology (158 citations). Marian Kelley has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Binodh DeSilva, Russell Weiner, Richard Tacey, Benjamin Lee, Masood Mehmood Khan, Abbie Celniker, Howard Hill, Wendell C. Smith, Ago Ahene and Jihong Yang. Their work appears in journals such as Biochemistry, Journal of Agricultural and Food Chemistry and Gene.
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.