Zsófia Sólyom

624 citations
11 papers · 495 indexed · h-index 9

Impact in

  • Spectroscopy top 10%
    • Advanced NMR Techniques and Applications
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

    • Protein Structure and Dynamics 10
    • RNA and protein synthesis mechanisms 3
    • Advanced NMR Techniques and Applications 4
    • Mass Spectrometry Techniques and Applications 3
    • Molecular spectroscopy and chirality 1

Zsófia Sólyom

11 papers receiving 492 citations

Peers

Zsófia Sólyom
Comparison fields: 5 of 75
  • Spectroscopy 130
  • Molecular Biology 373
  • Hepatology 40
  • Biophysics 22
  • Virology 18
Replace Céline Charavay with:
Céline Charavay France
Gabriel A. Cook United States
David S. Thiriot United States
Julien Roche United States
Sreejith Raran‐Kurussi India
Ilan Samish Israel
Lionel Imbert France
Bankala Krishnarjuna United States
Joshua A. Boyer United States
Joseph D. Walsh United States
Zsófia Sólyom relative to Céline Charavay France Céline Charavay's profile →
Citations per field
00.5×2.7×
Céline Charavay · 1×
Citations per year

Countries citing papers authored by Zsófia Sólyom

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Sólyom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Zsófia Sólyom, 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 Zsófia Sólyom Line = papers co-authored together Zsófia Sólyom links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2013189
2 201372
3 201570
4 201747
5 201246
6 201321
7 201517
8 201312
9 201411
10 20118
11 20142

About Zsófia Sólyom

Zsófia Sólyom is a scholar working on Molecular Biology, Spectroscopy, Hepatology, Materials Chemistry and Epidemiology, having authored 11 papers that have together received 495 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Advanced NMR Techniques and Applications (4 papers), Hepatitis C virus research (4 papers), Enzyme Structure and Function (3 papers), Mass Spectrometry Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), Hepatitis B Virus Studies (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Spectroscopy (130 citations), Molecular Biology (373 citations), Hepatology (40 citations), Biophysics (22 citations) and Virology (18 citations). Zsófia Sólyom has collaborated with scholars based in France, Germany and Italy. Frequent co-authors include Bernhard Brutscher, Dieter Willbold, Melanie Schwarten, Robert Konrat, Leonhard Geist, Roberta Pierattelli, Sergio Gil‐Caballero, Isabella C. Felli, Rainer Kümmerle and Silke Hoffmann. Their work appears in journals such as Journal of Biomolecular NMR, Advances in experimental medicine and biology, Journal of Molecular Biology, Biochemistry and Nucleic Acids Research.

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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