Eric Krauland
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
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- Protein purification and stability 3
- Advanced biosensing and bioanalysis techniques 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Glycosylation and Glycoproteins Research 1
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- K. Dane Wittrup (5 shared papers)Angela M. Belcher (4 shared papers)Beau R. Peelle (3 shared papers)Justin Hanes (2 shared papers)Maximiliano Vásquez (5 shared papers)Yingda Xu (2 shared papers)Tushar Jain (2 shared papers)Jie Fu (1 shared paper)
- Journals
- mAbs (2 papers)Biotechnology and Bioengineering (1 paper)ACS Nano (1 paper)Biotechnology Progress (1 paper)Protein Engineering Design and Selection (1 paper)
- Partner nations
- United States
In The Last Decade
Eric Krauland
12 papers receiving 1.2k citations
Eric Krauland's Hit Papers
Peers
Comparison fields: 5 of 96
- Radiology, Nuclear Medicine and Imaging 522
- Pharmaceutical Science 117
- Biomaterials 224
- Molecular Biology 753
- Immunology 136
Countries citing papers authored by Eric Krauland
This map shows the geographic impact of Eric Krauland'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 Eric Krauland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Krauland more than expected).
Fields of papers citing papers by Eric Krauland
This network shows the impact of papers produced by Eric Krauland. 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 Eric Krauland. The network helps show where Eric Krauland may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Krauland, 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 | Biophysical properties of the clinical-stage antibody landscape Hit paper breakdown → | 2017 | 427 |
| 2 | 2005 | 181 | |
| 3 | 2008 | 134 | |
| 4 | 2002 | 127 | |
| 5 | 2013 | 126 | |
| 6 | 2004 | 117 | |
| 7 | 2007 | 50 | |
| 8 | 2005 | 43 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 9 | |
| 12 | 2019 | 5 |
About Eric Krauland
Eric Krauland is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomaterials, Immunology and Electrical and Electronic Engineering, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Diatoms and Algae Research (4 papers), Protein purification and stability (3 papers), Molecular Junctions and Nanostructures (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), T-cell and B-cell Immunology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (522 citations), Pharmaceutical Science (117 citations), Biomaterials (224 citations), Molecular Biology (753 citations) and Immunology (136 citations). Eric Krauland has collaborated with scholars based in United States. Frequent co-authors include K. Dane Wittrup, Angela M. Belcher, Beau R. Peelle, Justin Hanes, Maximiliano Vásquez, Yingda Xu, Tushar Jain, Jie Fu, Jennifer Fiegel and Michelle Dawson. Their work appears in journals such as mAbs, Biotechnology and Bioengineering, ACS Nano, Biotechnology Progress and Protein Engineering Design and Selection.
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.