Günsu Inan

11 total papers · 1.2k total citations
9 papers, 562 citations indexed

About

Günsu Inan is a scholar working on Plant Science, Molecular Biology and Neurology. According to data from OpenAlex, Günsu Inan has authored 9 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 1 paper in Molecular Biology and 1 paper in Neurology. Recurrent topics in Günsu Inan's work include Plant Stress Responses and Tolerance (5 papers), Plant Molecular Biology Research (5 papers) and Horticultural and Viticultural Research (2 papers). Günsu Inan is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Plant Molecular Biology Research (5 papers) and Horticultural and Viticultural Research (2 papers). Günsu Inan collaborates with scholars based in United States, Türkiye and Saudi Arabia. Günsu Inan's co-authors include Ray A. Bressan, Hisashi Koiwa, Paul M. Hasegawa, Albino Maggio, Jian‐Kang Zhu, Zhizhong Gong, Jianhua Zhu, Barbara Damsz, Changqing Zhang and Chun‐Peng Song and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Journal of Experimental Botany.

In The Last Decade

Günsu Inan

9 papers receiving 545 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Günsu Inan 479 294 59 21 19 9 562
Eugenia Maximova 429 0.9× 320 1.1× 36 0.6× 27 1.3× 11 0.6× 11 586
San-Gwang Hwang 556 1.2× 231 0.8× 40 0.7× 11 0.5× 11 0.6× 16 599
Takayuki Yazawa 454 0.9× 207 0.7× 27 0.5× 20 1.0× 47 2.5× 13 555
Gyung‐Hye Huh 471 1.0× 339 1.2× 30 0.5× 10 0.5× 16 0.8× 12 620
Gabriel Levesque‐Tremblay 572 1.2× 346 1.2× 49 0.8× 15 0.7× 9 0.5× 7 630
Tomas Westergren 344 0.7× 409 1.4× 89 1.5× 12 0.6× 12 0.6× 8 555
Utkarsh M. Bitla 569 1.2× 184 0.6× 31 0.5× 17 0.8× 11 0.6× 6 667
Kwang Yeol Yang 433 0.9× 199 0.7× 36 0.6× 9 0.4× 26 1.4× 16 578
S. Indu Rupassara 371 0.8× 264 0.9× 43 0.7× 29 1.4× 34 1.8× 11 537
D. Theertha Prasad 418 0.9× 365 1.2× 21 0.4× 14 0.7× 9 0.5× 15 553

Countries citing papers authored by Günsu Inan

Since Specialization
Citations

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

Fields of papers citing papers by Günsu Inan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günsu Inan

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

All Works

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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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