Baljit S. Khakh

26.4k citations
130 papers · 16.1k indexed · 7 hit papers · h-index 64
Topics
Neuroscience and Neuropharmacology Research (58 papers)Adenosine and Purinergic Signaling (47 papers)Neuroinflammation and Neurodegeneration Mechanisms (41 papers)

In The Last Decade

Baljit S. Khakh

129 papers receiving 16.0k citations

Hit Papers

Astrocyte scar formation aids central nervo...2006202620122019201620152006201720144008001.2k

Peers

Baljit S. Khakh
Comparison fields: 5 of 155
  • Cellular and Molecular Neuroscience 7.4k
  • Neurology 5.4k
  • Molecular Biology 5.4k
  • Physiology 4.3k
  • Endocrine and Autonomic Systems 2.3k
Replace Michael W. Salter with:
Michael W. Salter Canada
Philip G. Haydon United States
Shinichi Kohsaka Japan
Takahiro Takano United States
Brian A. MacVicar Canada
Giorgio Bernardi Italy
Vladimir Parpura United States
Ana M. Sebastião Portugal
Mike Dragunow New Zealand
Wen‐Biao Gan United States
Baljit S. Khakh relative to Michael W. Salter Canada Michael W. Salter's profile →
Citations per field
00.5×2.7×
Michael W. Salter · 1×
Citations per year

Countries citing papers authored by Baljit S. Khakh

Since Specialization
Citations

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

Fields of papers citing papers by Baljit S. Khakh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baljit S. Khakh. 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 Baljit S. Khakh. The network helps show where Baljit S. Khakh may publish in the future.

Co-authorship network of co-authors of Baljit S. Khakh

This figure shows the co-authorship network connecting the top 25 collaborators of Baljit S. Khakh. A scholar is included among the top collaborators of Baljit S. Khakh 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 Baljit S. Khakh. Baljit S. Khakh 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 0
2 2
3 14
4 3
5 20
6 6
7 17
8
Molecular basis of astrocyte diversity and morphology across the CNS in health and diseasebreakdown →
296
9 6
10 1
11 31
12 106
13 162
14
CaImAn an open source tool for scalable calcium imaging data analysisbreakdown →
461
15 104
16 88
17 39
18 369
19 168
20 56

About Baljit S. Khakh

Baljit S. Khakh is a scholar working on Physiology, Neurology and Endocrine and Autonomic Systems, having authored 130 papers that have together received 16.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (58 papers), Adenosine and Purinergic Signaling (47 papers) and Neuroinflammation and Neurodegeneration Mechanisms (41 papers). The work is most often cited by research in Physiology (4.3k citations), Neurology (5.4k citations) and Developmental Neuroscience (2.0k citations). Baljit S. Khakh has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Michael V. Sofroniew, R. Alan North, Eiji Shigetomi, Giovanni Coppola, David N. Bowser, Xinzhu Yu, Henry A. Lester, Yan Ao, Terrance M. Egan and Jun Nagai. 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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