Vadim Demichev
- Molecular Biology top 5%
- Spectroscopy top 0.5%
- Oncology
- Cancer Research top 10%
- Immunology
- Co-authors
- Markus RalserChristoph B. MessnerKathryn S. LilleySpyros I. VernardisMichael MüllederAlexey I. NesvizhskiiGuo Ci TeoFengchao Yu
- Topics
- Advanced Proteomics Techniques and Applications (23 papers)Mass Spectrometry Techniques and Applications (13 papers)Metabolomics and Mass Spectrometry Studies (8 papers)
- Cited by
- SpectroscopyMolecular BiologyAging
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Vadim Demichev
33 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.0k
- Spectroscopy 1.1k
- Oncology 219
- Cancer Research 172
- Immunology 167
Countries citing papers authored by Vadim Demichev
This map shows the geographic impact of Vadim Demichev'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 Vadim Demichev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vadim Demichev more than expected).
Fields of papers citing papers by Vadim Demichev
This network shows the impact of papers produced by Vadim Demichev. 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 Vadim Demichev. The network helps show where Vadim Demichev may publish in the future.
Co-authorship network of co-authors of Vadim Demichev
This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Demichev. A scholar is included among the top collaborators of Vadim Demichev 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 Vadim Demichev. Vadim Demichev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 26 | |
| 4 | 14 | |
| 5 | 16 | |
| 6 | 59 | |
| 7 | 19 | |
| 8 | Analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platformbreakdown → | 119 |
| 9 | 32 | |
| 10 | 33 | |
| 11 | 27 | |
| 12 | dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amountsbreakdown → | 202 |
| 13 | 6 | |
| 14 | 74 | |
| 15 | 6 | |
| 16 | 42 | |
| 17 | Increasing the throughput of sensitive proteomics by plexDIAbreakdown → | 138 |
| 18 | 2 | |
| 19 | Ultra-fast proteomics with Scanning SWATHbreakdown → | 179 |
| 20 | 58 |
About Vadim Demichev
Vadim Demichev is a scholar working on Spectroscopy, Aging and Molecular Biology, having authored 36 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (23 papers), Mass Spectrometry Techniques and Applications (13 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Molecular Biology (2.0k citations) and Aging (22 citations). Vadim Demichev has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Markus Ralser, Christoph B. Messner, Kathryn S. Lilley, Spyros I. Vernardis, Michael Mülleder, Alexey I. Nesvizhskii, Guo Ci Teo, Fengchao Yu, Łukasz Szyrwiel and Ginny Xiaohe Li. Their work appears in journals such as Cell, Nature Communications and Nature Biotechnology.
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.