Gülçin Pekkurnaz

1.4k citations
17 papers · 879 indexed · h-index 13
Topics
Mitochondrial Function and Pathology (6 papers)ATP Synthase and ATPases Research (5 papers)Neuroscience and Neuropharmacology Research (3 papers)

In The Last Decade

Gülçin Pekkurnaz

17 papers receiving 870 citations

Peers

Gülçin Pekkurnaz
Comparison fields: 5 of 98
  • Molecular Biology 564
  • Cellular and Molecular Neuroscience 185
  • Physiology 142
  • Cell Biology 99
  • Epidemiology 90
Replace Tatjana Kleele with:
Tatjana Kleele Germany
Sammy Weiser Novak United States
Shu‐Hsien Sheu United States
Thomas M. Durcan Canada
J. Arjuna Ratnayaka United Kingdom
Chengyu Zou China
Jeffrey Nirschl United States
Nanda Keijzer Netherlands
Joanna Lipka Netherlands
Torben J. Hausrat Germany
Gülçin Pekkurnaz relative to Tatjana Kleele Germany Tatjana Kleele's profile →
Citations per field
00.5×1.5×
Tatjana Kleele · 1×
Citations per year

Countries citing papers authored by Gülçin Pekkurnaz

Since Specialization
Citations

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

Fields of papers citing papers by Gülçin Pekkurnaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gülçin Pekkurnaz

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 12
3 106
4 111
5 42
6 21
7 6
8 18
9 66
10 140
11 19
12 27
13 211
14 47
15 4
16 11
17 37

About Gülçin Pekkurnaz

Gülçin Pekkurnaz is a scholar working on Developmental Neuroscience, Clinical Biochemistry and Biophysics, having authored 17 papers that have together received 879 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biophysics (71 citations), Cellular and Molecular Neuroscience (185 citations) and Structural Biology (14 citations). Gülçin Pekkurnaz has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Xinnan Wang, Seungyoon B. Yu, Thomas L. Schwarz, Jonathan C. Trinidad, Dong Kong, Meghan Rossi, Himanish Basu, Lyndsey M. Kirk, Jeremy Howard and Sammy Weiser Novak. Their work appears in journals such as Cell, Journal of Biological Chemistry and The Journal of Cell Biology.

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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