Henning Hermjakob
- Molecular Biology top 0.2%
- Spectroscopy top 0.05%
- Genetics top 1%
- Immunology top 2%
- Cell Biology top 1%
- Co-authors
- Juan Antonio VizcaínoFlorian ReisingerYasset Pérez‐RiverolJohannes GrissAttila CsordásRui WangJosé A. DianesRolf Apweiler
- Topics
- Advanced Proteomics Techniques and Applications (109 papers)Bioinformatics and Genomic Networks (105 papers)Biomedical Text Mining and Ontologies (59 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Henning Hermjakob
209 papers receiving 17.2k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 12.8k
- Spectroscopy 4.3k
- Genetics 1.2k
- Immunology 1.1k
- Cell Biology 1.0k
Countries citing papers authored by Henning Hermjakob
This map shows the geographic impact of Henning Hermjakob'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 Henning Hermjakob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henning Hermjakob more than expected).
Fields of papers citing papers by Henning Hermjakob
This network shows the impact of papers produced by Henning Hermjakob. 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 Henning Hermjakob. The network helps show where Henning Hermjakob may publish in the future.
Co-authorship network of co-authors of Henning Hermjakob
This figure shows the co-authorship network connecting the top 25 collaborators of Henning Hermjakob. A scholar is included among the top collaborators of Henning Hermjakob based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Henning Hermjakob. Henning Hermjakob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 42 | |
| 8 | 110 | |
| 9 | 4 | |
| 10 | iProX in 2021: connecting proteomics data sharing with big databreakdown → | 531 |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 20 | |
| 17 | 148 | |
| 18 | 169 | |
| 19 | iProX: an integrated proteome resourcebreakdown → | 1215 |
| 20 | SPTR - A comprehensive, non-redundant and up-to-date view of the protein sequence world. | 3 |
About Henning Hermjakob
Henning Hermjakob is a scholar working on Spectroscopy, Information Systems and Management and Molecular Biology, having authored 213 papers that have together received 17.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (109 papers), Bioinformatics and Genomic Networks (105 papers) and Biomedical Text Mining and Ontologies (59 papers). The work is most often cited by research in Spectroscopy (4.3k citations), Molecular Biology (12.8k citations) and Information Systems and Management (513 citations). Henning Hermjakob has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Juan Antonio Vizcaíno, Florian Reisinger, Yasset Pérez‐Riverol, Johannes Griss, Attila Csordás, Rui Wang, José A. Dianes, Rolf Apweiler, Tobias Ternent and Noemí del‐Toro. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.
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.