András Patthy

1.5k citations
45 papers · 1.4k · h-index 24

Impact in

Papers in

András Patthy

45 papers receiving 1.3k citations

Peers

András Patthy
Comparison fields: 5 of 101
  • Biotechnology 174
  • Cellular and Molecular Neuroscience 252
  • Molecular Biology 788
  • Cell Biology 155
  • Insect Science 119
Replace Diana C. Bartelt with:
Diana C. Bartelt United States
A J Brake United States
Asser S. Andersen Denmark
Emily Tate United States
Stefan Henrich Germany
Tomoko Masuda Japan
Dung Le‐Nguyen France
Lihao Meng United States
Paul A. Colussi United States
H W Lahm Switzerland
András Patthy relative to Diana C. Bartelt United States Diana C. Bartelt's profile →
Citations per field
00.5×1.5×2.3×
Diana C. Bartelt · 1×
Citations per year

Countries citing papers authored by András Patthy

Since Specialization
Citations

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

Fields of papers citing papers by András Patthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987138
2 198696
3 199886
4 199984
5 199563
6 198662
7 200544
8 197743
9 199941
10 199941
11 197640
12 200839
13 200438
14 200536
15 200235
16 200131
17 200131
18 200130
19 200729
20 199629

About András Patthy

András Patthy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biotechnology, Oncology and Physiology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (12 papers), Insect Resistance and Genetics (10 papers), Neuropeptides and Animal Physiology (6 papers), Neurobiology and Insect Physiology Research (4 papers), Peptidase Inhibition and Analysis (4 papers), Chemical Synthesis and Analysis (4 papers), Enzyme Production and Characterization (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Biotechnology (174 citations), Cellular and Molecular Neuroscience (252 citations), Molecular Biology (788 citations), Cell Biology (155 citations) and Insect Science (119 citations). András Patthy has collaborated with scholars based in Hungary, Italy and South Africa. Frequent co-authors include László Gráf, Miklós Palkovits, Gábor Pál, László Szilágyi, Sándor Pongor, Charles S. Craik, Steven Roczniak, Robert J. Fletterick, William J. Rutter and Éva Várallyay. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemistry, Journal of Biological Chemistry, FEBS Letters and Analytical Biochemistry.

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.

Explore authors with similar magnitude of impact