Tivadar Orban

861 citations
28 papers · 704 indexed · h-index 16
Topics
Receptor Mechanisms and Signaling (13 papers)Photoreceptor and optogenetics research (7 papers)Retinal Development and Disorders (6 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

Tivadar Orban

27 papers receiving 698 citations

Peers

Tivadar Orban
Comparison fields: 5 of 69
  • Molecular Biology 552
  • Cellular and Molecular Neuroscience 256
  • Spectroscopy 90
  • Ophthalmology 87
  • Hematology 75
Replace Shahrokh C. Khani with:
Shahrokh C. Khani United States
Jufang Shan United States
Alexandra C. Newton United States
Jay M. Janz United States
Francella J. Otero United States
Yumiko Moritani Japan
D Maretzki Germany
Luanna K. Putney United States
K. Saidas Nair United States
Whitney M. Cleghorn United States
Tivadar Orban relative to Shahrokh C. Khani United States Shahrokh C. Khani's profile →
Citations per field
00.5×9.4×
Shahrokh C. Khani · 1×
Citations per year

Countries citing papers authored by Tivadar Orban

Since Specialization
Citations

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

Fields of papers citing papers by Tivadar Orban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tivadar Orban

This figure shows the co-authorship network connecting the top 25 collaborators of Tivadar Orban. A scholar is included among the top collaborators of Tivadar Orban 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 Tivadar Orban. Tivadar Orban 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
#WorkIndexed citations
1 68
2 10
3 7
4 19
5 8
6 69
7 3
8 46
9 10
10 25
11 35
12 61
13 11
14 70
15 40
16 19
17 8
18 23
19
[Microangiological problems of blood circulation of the choroid as local sign of general arteriosclerosis. Anatomical and histological studies].
1
20
[Significance of the structure of the vertebral nerve for the clinical picture in syndromes of the cervical sympathetic].
1

About Tivadar Orban

Tivadar Orban is a scholar working on Cellular and Molecular Neuroscience, Hematology and Molecular Biology, having authored 28 papers that have together received 704 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Photoreceptor and optogenetics research (7 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (256 citations), Ophthalmology (87 citations) and Molecular Biology (552 citations). Tivadar Orban has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Krzysztof Palczewski, Beata Jastrzębska, Mark R. Chance, Grażyna Palczewska, Sayan Gupta, Michael Kalafatis, Hui Jin, Lukas Hofmann, Yuanyuan Chen and Marcin Golczak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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