Haig Keshishian

6.6k citations
73 papers · 5.2k indexed · 2 hit papers · h-index 40
Topics
Neurobiology and Insect Physiology Research (64 papers)Developmental Biology and Gene Regulation (14 papers)Physiological and biochemical adaptations (12 papers)

In The Last Decade

Haig Keshishian

71 papers receiving 5.0k citations

Hit Papers

A conditional tissue-specific transgene expression system...200120262009201720012014100200300400500

Peers

Haig Keshishian
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 3.9k
  • Molecular Biology 2.4k
  • Cell Biology 1.3k
  • Genetics 880
  • Aging 554
Replace Krystyna Keleman with:
Krystyna Keleman Austria
Heinrich Reichert Switzerland
Yoshiki Hotta Japan
Gerhard M. Technau Germany
Vivian Budnik United States
Michael Bate United Kingdom
Michael J. Bastiani United States
Christian Klämbt Germany
Kendal Broadie United States
Ulrike Heberlein United States
Haig Keshishian relative to Krystyna Keleman Austria Krystyna Keleman's profile →
Citations per field
00.5×1.7×
Krystyna Keleman · 1×
Citations per year

Countries citing papers authored by Haig Keshishian

Since Specialization
Citations

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

Fields of papers citing papers by Haig Keshishian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haig Keshishian

This figure shows the co-authorship network connecting the top 25 collaborators of Haig Keshishian. A scholar is included among the top collaborators of Haig Keshishian 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 Haig Keshishian. Haig Keshishian 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 15
2 19
3
A Systematic Nomenclature for the Insect Brainbreakdown →
437
4 80
5 14
6 51
7 47
8 25
9 9
10 104
11 39
12 103
13
A conditional tissue-specific transgene expression system using inducible GAL4breakdown →
597
14 39
15 104
16 40
17 273
18 28
19 17
20 95

About Haig Keshishian

Haig Keshishian is a scholar working on Aging, Cellular and Molecular Neuroscience and Cell Biology, having authored 73 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (64 papers), Developmental Biology and Gene Regulation (14 papers) and Physiological and biochemical adaptations (12 papers). The work is most often cited by research in Aging (554 citations), Cellular and Molecular Neuroscience (3.9k citations) and Cell Biology (1.3k citations). Haig Keshishian has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include David Bentley, Thomas Osterwalder, Benjamin H. White, Akira Chiba, Joyce J. Fernandes, Marc S. Halfon, Jørgen Johansen, Akira Chibá, Michael Bate and Kendal Broadie. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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