Mahdokht Kohansal-Nodehi

1.2k citations
7 papers · 141 indexed · h-index 6
Topics
Cellular transport and secretion (2 papers)Lipid Membrane Structure and Behavior (2 papers)Hemoglobin structure and function (2 papers)
Journals
SHILAP Revista de lepidopterologíaCell ReportseLife

In The Last Decade

Mahdokht Kohansal-Nodehi

7 papers receiving 139 citations

Peers

Mahdokht Kohansal-Nodehi
Comparison fields: 5 of 55
  • Molecular Biology 85
  • Cell Biology 52
  • Cellular and Molecular Neuroscience 43
  • Physiology 22
  • Neurology 10
Replace Fatima Girach with:
Fatima Girach Austria
Elodie De Bruyckere Germany
Federico Marracino Italy
Christopher Krasniak United States
Calvin Wong Canada
Grant Kauwe United States
Eike Wegener Germany
Emilia Servián‐Morilla Spain
Μariagrazia Favellato Italy
Nicola Vanni Italy
Mahdokht Kohansal-Nodehi relative to Fatima Girach Austria Fatima Girach's profile →
Citations per field
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Fatima Girach · 1×
Citations per year

Countries citing papers authored by Mahdokht Kohansal-Nodehi

Since Specialization
Citations

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

Fields of papers citing papers by Mahdokht Kohansal-Nodehi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahdokht Kohansal-Nodehi. 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 Mahdokht Kohansal-Nodehi. The network helps show where Mahdokht Kohansal-Nodehi may publish in the future.

Co-authorship network of co-authors of Mahdokht Kohansal-Nodehi

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 6
2 5
3 30
4 10
5 40
6 37
7 13

About Mahdokht Kohansal-Nodehi

Mahdokht Kohansal-Nodehi is a scholar working on Cell Biology, Ophthalmology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 141 indexed citations. Recurring topics across this work include Cellular transport and secretion (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Hemoglobin structure and function (2 papers). The work is most often cited by research in Cell Biology (52 citations), Cellular and Molecular Neuroscience (43 citations) and Developmental Neuroscience (7 citations). Mahdokht Kohansal-Nodehi has collaborated with scholars based in Germany, Singapore and Australia. Frequent co-authors include Henning Urlaub, John Jia En Chua, Reinhard Jahn, Camin Dean, Carsten Reißner, Markus Zweckstetter, Saheeb Ahmed, Jonathan T. Ting, Katja Burk and Inga Zerr. Their work appears in journals such as SHILAP Revista de lepidopterología, Cell Reports and eLife.

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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