Fabian Coscia

3.6k citations
29 papers · 1.7k indexed · 2 hit papers · h-index 17
Topics
Advanced Proteomics Techniques and Applications (7 papers)Single-cell and spatial transcriptomics (6 papers)DNA Repair Mechanisms (3 papers)

In The Last Decade

Fabian Coscia

27 papers receiving 1.7k citations

Hit Papers

Proteomics reveals NNMT as a master metabolic regulator o...201920262021202320192022100200300

Peers

Fabian Coscia
Comparison fields: 5 of 121
  • Molecular Biology 1.1k
  • Spectroscopy 391
  • Oncology 332
  • Cancer Research 266
  • Immunology 184
Replace Jianghong Deng with:
Jianghong Deng China
Chandandeep Nagi United States
Cristina Al‐Khalili Szigyarto Sweden
José M.A. Moreira Denmark
Luz García‐Alonso United Kingdom
Yi Zhu China
Lydie Lane Switzerland
Vinodh N. Rajapakse United States
Sally Ross United States
David R. Croucher Australia
Fabian Coscia relative to Jianghong Deng China Jianghong Deng's profile →
Citations per field
00.5×4.8×
Jianghong Deng · 1×
Citations per year

Countries citing papers authored by Fabian Coscia

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Coscia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Coscia

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Coscia. A scholar is included among the top collaborators of Fabian Coscia 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 Fabian Coscia. Fabian Coscia 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 1
2 2
3 0
4 1
5 7
6 18
7 22
8 81
9 138
10
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbationbreakdown →
294
11 16
12 12
13 43
14 105
15 47
16 31
17 111
18 154
19 27
20 25

About Fabian Coscia

Fabian Coscia is a scholar working on Spectroscopy, Biophysics and Immunology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (6 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Spectroscopy (391 citations), Cancer Research (266 citations) and Molecular Biology (1.1k citations). Fabian Coscia has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Matthias Mann, Ernst Lengyel, Andreas Mund, Marion Curtis, Mark A. Eckert, Ricardo R. Lastra, S. Diane Yamada, Anthony Montag, Sophia Doll and Alberto Santos. Their work appears in journals such as Nature, Cell 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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