Vinata Vedam‐Mai

1.8k citations
42 papers · 1.2k indexed · 2 hit papers · h-index 18

Vinata Vedam‐Mai

40 papers receiving 1.2k citations

Hit Papers

The Gut–Brain Axis and Its Relation to Parkinson’...112201920262021202350100150200

Peers

Vinata Vedam‐Mai
Comparison fields: 5 of 104
  • Neurology 470
  • Developmental Neuroscience 126
  • Neurology 190
  • Cellular and Molecular Neuroscience 372
  • Biological Psychiatry 49
Replace Shaogang Qu with:
Shaogang Qu China
Eng‐King Tan Singapore
C. Thong United States
Melissa R. Regan United States
Maxime W.C. Rousseaux United States
Seung Jae Hyeon South Korea
Nora Bengoa‐Vergniory United Kingdom
Stefano Biagioni Italy
Jeremy H. Herskowitz United States
Pol Andrés‐Benito Spain
Vinata Vedam‐Mai relative to Shaogang Qu China Shaogang Qu's profile →
Citations per field
00.5×2.6×
Shaogang Qu · 1×
Citations per year

Countries citing papers authored by Vinata Vedam‐Mai

Since Specialization
Citations

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

Fields of papers citing papers by Vinata Vedam‐Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinata Vedam‐Mai. 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 Vinata Vedam‐Mai. The network helps show where Vinata Vedam‐Mai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vinata Vedam‐Mai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vinata Vedam‐Mai Line = papers co-authored together Vinata Vedam‐Mai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202318
3 20233
4 20225
5 202116
6 202018
7 201816
8 201824
9 201822
10 201635
11 201629
12 201589
13 201444
14 201417
15 201214
16 201232
17 201139
18 201112
19 201130
20 2011100

About Vinata Vedam‐Mai

Vinata Vedam‐Mai is a scholar working on Neurology, Developmental Neuroscience, Biological Psychiatry, Cellular and Molecular Neuroscience and Neurology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (21 papers), Neurological disorders and treatments (19 papers), Genetic Neurodegenerative Diseases (9 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Pluripotent Stem Cells Research (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Nerve injury and regeneration (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Neurology (470 citations), Developmental Neuroscience (126 citations), Neurology (190 citations), Cellular and Molecular Neuroscience (372 citations) and Biological Psychiatry (49 citations). Vinata Vedam‐Mai has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Michael S. Okun, Brent A. Reynolds, Ahmad Elkouzi, Robert S. Eisinger, Hassan Azari, Loic P. Deleyrolle, Richard A. Yost, Emily L. Gill, Muhammad M. Abd‐El‐Barr and Maryam Rahman. Their work appears in journals such as Analytical Chemistry, ACS Chemical Neuroscience, Frontiers in Aging Neuroscience, Brain Research and Journal of Visualized Experiments.

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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