Poornima Venkat

3.3k citations
48 papers · 2.5k indexed · 1 hit paper · h-index 27
  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms 18
    • Neurological Disease Mechanisms and Treatments 17
    • Traumatic Brain Injury and Neurovascular Disturbances 7
    • Neurological Disorders and Treatments 6
    • MicroRNA in disease regulation 10
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms 18
    • Neurological Disease Mechanisms and Treatments 17
    • Traumatic Brain Injury and Neurovascular Disturbances 7
    • Neurological Disorders and Treatments 6
  • Genetics top 5%
    • Mesenchymal stem cell research 7
    • Extracellular vesicles in disease 12
    • Cerebrospinal fluid and hydrocephalus 5

Poornima Venkat

48 papers receiving 2.5k citations

Hit Papers

Brain–Heart Interaction3792017202620202023100200300

Peers

Poornima Venkat
Comparison fields: 5 of 111
  • Neurology 913
  • Cancer Research 460
  • Neurology 450
  • Developmental Neuroscience 107
  • Genetics 233
Replace Tao Yan with:
Tao Yan China
Michael K. Schuhmann Germany
Chikako Nito Japan
Simone Wagner Germany
Ádám Nyúl‐Tóth Hungary
Lidia García‐Bonilla United States
Changman Zhou China
Renée J. Turner Australia
Nobukazu Miyamoto Japan
Poornima Venkat relative to Tao Yan China Tao Yan's profile →
Citations per field
00.5×1.6×
Tao Yan · 1×
Citations per year

Countries citing papers authored by Poornima Venkat

Since Specialization
Citations

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

Fields of papers citing papers by Poornima Venkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Poornima Venkat, 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 Poornima Venkat Line = papers co-authored together Poornima Venkat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20228
3 20217
4 202018
5 202022
6 202010
7 201967
8 20197
9 201921
10 201854
11 201856
12 201846
13 201822
14 201814
15 201830
16 2017134
17 201784
18 2015256
19 201442
20 201319

About Poornima Venkat

Poornima Venkat is a scholar working on Neurology, Cancer Research and Neurology, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Neurological Disease Mechanisms and Treatments (17 papers), Extracellular vesicles in disease (12 papers), MicroRNA in disease regulation (10 papers), Mesenchymal stem cell research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Neurological Disorders and Treatments (6 papers) and Cerebrospinal fluid and hydrocephalus (5 papers). The work is most often cited by research in Neurology (913 citations), Cancer Research (460 citations) and Neurology (450 citations). Poornima Venkat has collaborated with scholars based in United States, China and India. Frequent co-authors include Michael Chopp, Jieli Chen, Alex Zacharek, Tao Yan, Zhili Chen, Julie Landschoot‐Ward, Chengcheng Cui, Ruizhuo Ning, Yi Shen and Peng Yu. Their work appears in journals such as PLoS ONE, Circulation Research and Stroke.

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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