Alisa Glukhova

4.3k citations
36 papers · 2.5k indexed · 1 hit paper · h-index 24
Topics
Receptor Mechanisms and Signaling (23 papers)Neuropeptides and Animal Physiology (7 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)

In The Last Decade

Alisa Glukhova

34 papers receiving 2.5k citations

Hit Papers

Phase-plate cryo-EM structure of a class B GPCR–G-protein...20172026202020232017100200300

Peers

Alisa Glukhova
Comparison fields: 5 of 106
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 1.0k
  • Radiology, Nuclear Medicine and Imaging 282
  • Endocrinology, Diabetes and Metabolism 259
  • Physiology 242
Replace David M. Thal with:
David M. Thal Australia
Yi-Lynn Liang Australia
Hongli Hu China
Denise Wootten Australia
Bingfa Sun United States
Naomi R. Latorraca United States
Joseph A. Lyons Denmark
Yang Lee United States
Ka Young Chung South Korea
Diane Calinski United States
Alisa Glukhova relative to David M. Thal Australia David M. Thal's profile →
Citations per field
00.5×1.6×
David M. Thal · 1×
Citations per year

Countries citing papers authored by Alisa Glukhova

Since Specialization
Citations

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

Fields of papers citing papers by Alisa Glukhova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alisa Glukhova

This figure shows the co-authorship network connecting the top 25 collaborators of Alisa Glukhova. A scholar is included among the top collaborators of Alisa Glukhova 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 Alisa Glukhova. Alisa Glukhova 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 14
2 0
3 0
4 3
5 11
6 24
7 22
8 4
9 20
10 49
11 117
12 91
13 31
14 235
15
Phase-plate cryo-EM structure of a class B GPCR–G-protein complexbreakdown →
362
16 18
17 38
18 41
19 24
20 65

About Alisa Glukhova

Alisa Glukhova is a scholar working on Physiology, Structural Biology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Structural Biology (124 citations), Cellular and Molecular Neuroscience (1.0k citations) and Physiology (242 citations). Alisa Glukhova has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Patrick M. Sexton, Arthur Christopoulos, David M. Thal, Denise Wootten, Maryam Khoshouei, Yi-Lynn Liang, Sebastian G. B. Furness, Wolfgang Baumeister, Radostin Danev and Lauren T. May. Their work appears in journals such as Nature, Science and Cell.

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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