Julius Paul Pradeep John
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- Neuroscience and Neuropharmacology Research 5
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- Mitochondrial Function and Pathology 3
- Machine Learning in Bioinformatics 1
- Protein Structure and Dynamics 1
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- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 4
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- Biotin and Related Studies 3
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- Alzheimer's disease research and treatments 2
- Co-authors
- Gert LübecJae‐Won YangLeila Afjehi‐SadatArnold PollakWeiqiang ChenHarald HoegerDaniela D. PollakAngela Schneider
- Partner nations
- AustriaSwitzerlandSingapore
In The Last Decade
Julius Paul Pradeep John
17 papers receiving 530 citations
Peers
Comparison fields: 5 of 85
- Immunology 134
- Cellular and Molecular Neuroscience 97
- Molecular Biology 324
- Spectroscopy 57
- Developmental Neuroscience 13
Countries citing papers authored by Julius Paul Pradeep John
This map shows the geographic impact of Julius Paul Pradeep John'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 Julius Paul Pradeep John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julius Paul Pradeep John more than expected).
Fields of papers citing papers by Julius Paul Pradeep John
This network shows the impact of papers produced by Julius Paul Pradeep John. 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 Julius Paul Pradeep John. The network helps show where Julius Paul Pradeep John may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julius Paul Pradeep John, 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 | 2019 | 137 | |
| 2 | 2016 | 2 | |
| 3 | 2009 | 7 | |
| 4 | 2009 | 18 | |
| 5 | 2009 | 49 | |
| 6 | 2009 | 24 | |
| 7 | 2009 | 9 | |
| 8 | 2007 | 6 | |
| 9 | 2007 | 15 | |
| 10 | 2007 | 17 | |
| 11 | 2006 | 9 | |
| 12 | 2006 | 11 | |
| 13 | 2006 | 38 | |
| 14 | 2006 | 22 | |
| 15 | 2006 | 9 | |
| 16 | 2005 | 23 | |
| 17 | 2005 | 148 |
About Julius Paul Pradeep John
Julius Paul Pradeep John is a scholar working on Spectroscopy, Cellular and Molecular Neuroscience, Cell Biology, Pathology and Forensic Medicine and Microbiology, having authored 17 papers that have together received 544 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Mitochondrial Function and Pathology (3 papers), Biotin and Related Studies (3 papers), Alzheimer's disease research and treatments (2 papers), Machine Learning in Bioinformatics (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Immunology (134 citations), Cellular and Molecular Neuroscience (97 citations), Molecular Biology (324 citations), Spectroscopy (57 citations) and Developmental Neuroscience (13 citations). Julius Paul Pradeep John has collaborated with scholars based in Austria, Switzerland and Singapore. Frequent co-authors include Gert Lübec, Jae‐Won Yang, Leila Afjehi‐Sadat, Arnold Pollak, Weiqiang Chen, Harald Hoeger, Daniela D. Pollak, Angela Schneider, Iwen F. Grigsby and John P. Vasilakos. Their work appears in journals such as Electrophoresis, Amino Acids, Journal of Proteome Research, Progress in Neurobiology and Genes Brain & Behavior.
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.