Gülşah Altun

1.7k total citations
22 papers, 746 citations indexed

About

Gülşah Altun is a scholar working on Molecular Biology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Gülşah Altun has authored 22 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Computer Networks and Communications. Recurrent topics in Gülşah Altun's work include Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (5 papers) and Pluripotent Stem Cells Research (3 papers). Gülşah Altun is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (5 papers) and Pluripotent Stem Cells Research (3 papers). Gülşah Altun collaborates with scholars based in United States, Türkiye and Hong Kong. Gülşah Altun's co-authors include Jeanne F. Loring, Louise C. Laurent, Roy Williams, Eirini P. Papapetrou, Sandra Danner, Johanna Goldmann, Frank Müller, Josef B. Aldenhoff, Nils Ole Schmidt and Bernhard Schuldt and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Nature Methods.

In The Last Decade

Gülşah Altun

18 papers receiving 696 citations

Peers

Gülşah Altun
Comparison fields: 5 of 95
  • Molecular Biology 623
  • Cellular and Molecular Neuroscience 130
  • Genetics 101
  • Biomedical Engineering 97
  • Physiology 61
Replace Satoshi Okawa with:
Satoshi Okawa Japan
Dwight Stambolian United States
Guang Shi China
Jin Man Kim South Korea
Takuya Kuroda Japan
Silvia Muñoz‐Descalzo United Kingdom
Dai Kusumoto Japan
David Schubert United States
Sarah J. L. Graham United Kingdom
Satoshi Okawa Japan View profile →
Citations per field, relative to Gülşah Altun
Gülşah Altun · 1×
Citations per year, relative to Gülşah Altun
Gülşah Altun · 1×

Countries citing papers authored by Gülşah Altun

Since Specialization
Citations

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

Fields of papers citing papers by Gülşah Altun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gülşah Altun

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 4
5 2
6 8
7 1
8 16
9 319
10 69
11 165
12 63
13 12
14 0
15 4
16 7
17 67
18 3
19 1
20 1

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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