Susan Sangha

2.9k citations
43 papers · 2.3k indexed · h-index 27
Topics
Memory and Neural Mechanisms (25 papers)Stress Responses and Cortisol (23 papers)Neuroscience and Neuropharmacology Research (14 papers)

In The Last Decade

Susan Sangha

42 papers receiving 2.2k citations

Peers

Susan Sangha
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 1.3k
  • Behavioral Neuroscience 623
  • Social Psychology 564
  • Molecular Biology 292
Replace Rossella Ventura with:
Rossella Ventura Italy
Greta Sokoloff United States
Bruce C. Dudek United States
Sylvie Ramboz United States
Jessica J. Nadler United States
Jacqueline Blundell Canada
Arun Asok United States
Nancy B. Young United States
Marie-Christine Buhot France
Ada C. Felix‐Ortiz United States
Susan Sangha relative to Rossella Ventura Italy Rossella Ventura's profile →
Citations per field
00.5×1.5×2.3×
Rossella Ventura · 1×
Citations per year

Countries citing papers authored by Susan Sangha

Since Specialization
Citations

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

Fields of papers citing papers by Susan Sangha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Sangha

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Sangha. A scholar is included among the top collaborators of Susan Sangha 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 Susan Sangha. Susan Sangha 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 3
3 4
4 8
5 5
6 6
7 62
8 95
9 37
10 102
11 16
12 136
13 223
14 91
15 52
16 51
17 51
18 27
19 43
20 34

About Susan Sangha

Susan Sangha is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (25 papers), Stress Responses and Cortisol (23 papers) and Neuroscience and Neuropharmacology Research (14 papers). The work is most often cited by research in Behavioral Neuroscience (623 citations), Cellular and Molecular Neuroscience (1.4k citations) and Cognitive Neuroscience (1.3k citations). Susan Sangha has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ken Lukowiak, Andi Scheibenstock, Thomas Seidenbecher, Hans‐Christian Pape, Rajeevan T. Narayanan, Jörg Lesting, Chlöe McComb, Oliver Stork, Christian Kluge and James Z. Chadick. Their work appears in journals such as Neuron, Journal of Neuroscience and PLoS ONE.

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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