Max Hebditch
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Biotechnology top 10%
- Transgenic Plants and Applications
Papers in
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- Protein purification and stability 8
- Protein Structure and Dynamics 5
- Glycosylation and Glycoproteins Research 3
- Viral Infectious Diseases and Gene Expression in Insects 2
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Jim Warwicker (8 shared papers)Robin Curtis (5 shared papers)Spyros Charonis (1 shared paper)Pernille Harris (1 shared paper)Günther H. Peters (1 shared paper)Christopher F. van der Walle (1 shared paper)Clair Baldock (1 shared paper)Prasad Sarangapani (1 shared paper)
- Journals
- Scientific Reports (3 papers)Bioinformatics (2 papers)SLAS DISCOVERY (1 paper)Journal of Pharmaceutical Sciences (1 paper)Computational and Structural Biotechnology Journal (1 paper)
- Partner nations
- United KingdomDenmarkSingapore
In The Last Decade
Max Hebditch
12 papers receiving 737 citations
Max Hebditch's Hit Papers
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 237
- Biotechnology 89
- Molecular Biology 641
- Immunology 117
- Infectious Diseases 102
Countries citing papers authored by Max Hebditch
This map shows the geographic impact of Max Hebditch'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 Max Hebditch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Hebditch more than expected).
Fields of papers citing papers by Max Hebditch
This network shows the impact of papers produced by Max Hebditch. 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 Max Hebditch. The network helps show where Max Hebditch may publish in the future.
Co-authors
The 19 scholars most cited alongside Max Hebditch, 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 | Protein–Sol: a web tool for predicting protein solubility from sequence Hit paper breakdown → | 2017 | 527 |
| 2 | 2019 | 69 | |
| 3 | 2017 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 2018 | 27 | |
| 6 | 2013 | 17 | |
| 7 | 2018 | 14 | |
| 8 | 2014 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2017 | 3 |
About Max Hebditch
Max Hebditch is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 753 indexed citations. Recurring topics across this work include Protein purification and stability (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Protein Structure and Dynamics (5 papers), Glycosylation and Glycoproteins Research (3 papers), Enzyme Structure and Function (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Computational Drug Discovery Methods (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (237 citations), Biotechnology (89 citations), Molecular Biology (641 citations), Immunology (117 citations) and Infectious Diseases (102 citations). Max Hebditch has collaborated with scholars based in United Kingdom, Denmark and Singapore. Frequent co-authors include Jim Warwicker, Robin Curtis, Spyros Charonis, Pernille Harris, Günther H. Peters, Christopher F. van der Walle, Clair Baldock, Prasad Sarangapani, Jai A. Pathak and Poul Erik Hansen. Their work appears in journals such as Scientific Reports, Bioinformatics, SLAS DISCOVERY, Journal of Pharmaceutical Sciences and Computational and Structural Biotechnology Journal.
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.