Johannes Graumann

9.3k citations
105 papers · 5.4k indexed · 1 hit paper · h-index 36
Topics
Extracellular vesicles in disease (12 papers)Advanced Proteomics Techniques and Applications (11 papers)Ubiquitin and proteasome pathways (8 papers)

In The Last Decade

Johannes Graumann

101 papers receiving 5.3k citations

Hit Papers

Selective identification of newly synthesized proteins in...20062026201220192006200400600

Peers

Johannes Graumann
Comparison fields: 5 of 137
  • Molecular Biology 4.0k
  • Cell Biology 902
  • Epidemiology 602
  • Spectroscopy 575
  • Oncology 521
Replace Corey E. Bakalarski with:
Corey E. Bakalarski United States
Kai Stühler Germany
Teck Yew Low Malaysia
Yue Chen United States
Takeshi Tomonaga Japan
Tiziana Bonaldi Italy
Shawn S.‐C. Li Canada
David K. Han United States
Rita Derua Belgium
Paul R. Graves United States
Johannes Graumann relative to Corey E. Bakalarski United States Corey E. Bakalarski's profile →
Citations per field
00.5×1.5×2.2×
Corey E. Bakalarski · 1×
Citations per year

Countries citing papers authored by Johannes Graumann

Since Specialization
Citations

This map shows the geographic impact of Johannes Graumann'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 Johannes Graumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Graumann more than expected).

Fields of papers citing papers by Johannes Graumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johannes Graumann. 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 Johannes Graumann. The network helps show where Johannes Graumann may publish in the future.

Co-authorship network of co-authors of Johannes Graumann

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Graumann. A scholar is included among the top collaborators of Johannes Graumann 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 Johannes Graumann. Johannes Graumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 14
5 8
6 2
7 8
8 1
9 16
10 8
11 6
12 25
13 9
14 36
15 39
16 18
17 39
18 10
19 100
20
Selective identification of newly synthesized proteins in mammalian cells using bioorthogonal noncanonical amino acid tagging (BONCAT)breakdown →
644

About Johannes Graumann

Johannes Graumann is a scholar working on Molecular Biology, Cell Biology and Immunology, having authored 105 papers that have together received 5.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (12 papers), Advanced Proteomics Techniques and Applications (11 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Cell Biology (902 citations) and Spectroscopy (575 citations). Johannes Graumann has collaborated with scholars based in Germany, United States and Qatar. Frequent co-authors include Raymond J. Deshaies, Daniela C. Dieterich, David A. Tirrell, A. James Link, Erin M. Schuman, Robert Oania, Rati Verma, Matthias Mann, David C. Chan and Erik E. Griffin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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.

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