Géza Schermann

1.4k total citations
18 papers, 985 citations indexed

About

Géza Schermann is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Géza Schermann has authored 18 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Cell Biology. Recurrent topics in Géza Schermann's work include Acute Lymphoblastic Leukemia research (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (3 papers). Géza Schermann is often cited by papers focused on Acute Lymphoblastic Leukemia research (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (3 papers). Géza Schermann collaborates with scholars based in Germany, Hungary and United States. Géza Schermann's co-authors include Tamás Fischer, Irmgard Sinning, Nikolay Dobrev, Carmen Ruiz de Almodóvar, Thomas Schmidt, Aı̈da Valls, Xiaohong Wang, Ying Shen, Gergely Solecki and Laura Castro and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Géza Schermann

18 papers receiving 980 citations

Peers

Géza Schermann
Comparison fields: 5 of 74
  • Molecular Biology 738
  • Cell Biology 263
  • Oncology 114
  • Cancer Research 100
  • Plant Science 72
Idan Cohen Israel
Srinath C. Sampath United States
Ramsay J. McFarlane United Kingdom
Cynthia A. Sparks United States
Olga Ermakova Italy
Jianguo Fan United States
Irina Matos Portugal
Madhvi B. Upender United States
Aude Robert France
Cristina Claverı́a Spain
Idan Cohen Israel View profile →
Citations per field, relative to Géza Schermann
Géza Schermann · 1×
Citations per year, relative to Géza Schermann
Géza Schermann · 1×

Countries citing papers authored by Géza Schermann

Since Specialization
Citations

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

Fields of papers citing papers by Géza Schermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Géza Schermann

This figure shows the co-authorship network connecting the top 25 collaborators of Géza Schermann. A scholar is included among the top collaborators of Géza Schermann 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 Géza Schermann. Géza Schermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 3
3 14
4 6
5 90
6 7
7 3
8 21
9 273
10 22
11 4
12 29
13 31
14 306
15 42
16 90
17 7
18 36

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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