Mark Scalf

3.4k citations
68 papers · 2.7k indexed · h-index 28
    • Mass Spectrometry Techniques and Applications 24
    • Advanced Proteomics Techniques and Applications 23
    • RNA Research and Splicing 12
    • Ubiquitin and proteasome pathways 11
    • RNA and protein synthesis mechanisms 11
    • RNA modifications and cancer 9
    • Glycosylation and Glycoproteins Research 6
    • Metabolomics and Mass Spectrometry Studies 6
  • Cell Biology top 10%
  • Biochemistry top 10%

Mark Scalf

66 papers receiving 2.6k citations

Peers

Mark Scalf
Comparison fields: 5 of 113
  • Spectroscopy 849
  • Molecular Biology 1.8k
  • Plant Science 669
  • Cell Biology 177
  • Biochemistry 76
Replace Dário Eluan Kalume with:
Dário Eluan Kalume Brazil
Tine E. Thingholm Denmark
Dixie J. Goss United States
Luitzen de Jong Netherlands
Feng Yang United States
Stephen J. Eyles United States
William M. Old United States
Craig D. Wenger United States
Bryan R. Fonslow United States
Wilhelm Postel Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mark Scalf

Since Specialization
Citations

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

Fields of papers citing papers by Mark Scalf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mark Scalf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Scalf Line = papers co-authored together Mark Scalf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20239
2 20227
3 202123
4 20217
5 202112
6 201921
7 201916
8 201917
9 201818
10 2018105
11 20178
12 201727
13 201732
14 2016134
15 201421
16 201320
17 2010112
18 2009122
19 200711
20 200111

About Mark Scalf

Mark Scalf is a scholar working on Spectroscopy, Molecular Biology, Virology, Cancer Research and Cell Biology, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (24 papers), Advanced Proteomics Techniques and Applications (23 papers), RNA Research and Splicing (12 papers), Ubiquitin and proteasome pathways (11 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (9 papers), Glycosylation and Glycoproteins Research (6 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Spectroscopy (849 citations), Molecular Biology (1.8k citations), Plant Science (669 citations), Cell Biology (177 citations) and Biochemistry (76 citations). Mark Scalf has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Lloyd M. Smith, Richard D. Vierstra, Michael S. Westphall, Michael R. Shortreed, Brian L. Frey, Do Young ‍Kim, Xuehua Zhong, Xiangsong Chen, Marcus J. Miller and Adam J. Book. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, eLife, Journal of the American Society for Mass Spectrometry 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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