Pál Stráner

437 citations
15 papers · 195 · h-index 7

Impact in

    • Protein Structure and Dynamics
    • Chemical Synthesis and Analysis
    • RNA and protein synthesis mechanisms
    • Receptor Mechanisms and Signaling
    • Mass Spectrometry Techniques and Applications

Papers in

    • Protein Structure and Dynamics 4
    • Chemical Synthesis and Analysis 3
    • Glycosylation and Glycoproteins Research 2
    • Receptor Mechanisms and Signaling 2
    • Peptidase Inhibition and Analysis 3

Pál Stráner

15 papers receiving 194 citations

Peers

Pál Stráner
Comparison fields: 5 of 56
  • Molecular Biology 155
  • Spectroscopy 28
  • Materials Chemistry 59
  • Endocrinology, Diabetes and Metabolism 17
  • Cell Biology 18
Replace Meghna Sobti with:
Meghna Sobti Australia
João M. Martins Portugal
Shenglong Ling China
Akihiro Maeno Japan
Sandhya P. Tiwari Japan
Nicolai Tidemand Johansen Denmark
Shristi Pawnikar United States
Marta Frigolé‐Vivas Spain
Xingfu Xu United States
Iwona Siuda Canada
Pál Stráner relative to Meghna Sobti Australia Meghna Sobti's profile →
Citations per field
00.5×3.4×
Meghna Sobti · 1×
Citations per year

Countries citing papers authored by Pál Stráner

Since Specialization
Citations

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

Fields of papers citing papers by Pál Stráner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pál Stráner, 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 Pál Stráner Line = papers co-authored together Pál Stráner links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200754
2 201344
3 201622
4 201419
5 201812
6 202210
7 20228
8 20196
9 20234
10 20224
11 20233
12 20213
13 20243
14 20242
15 20221

About Pál Stráner

Pál Stráner is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Infectious Diseases and Surgery, having authored 15 papers that have together received 195 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (3 papers), Enzyme Structure and Function (3 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes Treatment and Management (2 papers), Receptor Mechanisms and Signaling (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Biology (155 citations), Spectroscopy (28 citations), Materials Chemistry (59 citations), Endocrinology, Diabetes and Metabolism (17 citations) and Cell Biology (18 citations). Pál Stráner has collaborated with scholars based in Hungary, Netherlands and Japan. Frequent co-authors include András Perczel, Viktor Farkas, Györgyi Váradi, Petra Rovó, Gábor Tóth, László Nyitray, András Láng, István Bartha, Gábor K. Tóth and Dóra K. Menyhárd. Their work appears in journals such as Biochemistry, Chemical Science, Microbial Biotechnology, Current Protein and Peptide Science and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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