Akash Goyal

619 citations
20 papers · 378 · h-index 7

Impact in

  • Neurology top 10%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Stress Responses and Cortisol

Papers in

Akash Goyal

16 papers receiving 373 citations

Peers

Akash Goyal
Comparison fields: 5 of 77
  • Neurology 139
  • Behavioral Neuroscience 16
  • Emergency Medicine 31
  • Epidemiology 114
  • Biological Psychiatry 8
Replace Krutika Amin with:
Krutika Amin United States
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Akash Goyal relative to Krutika Amin United States Krutika Amin's profile →
Citations per field
00.5×
Krutika Amin · 1×
Citations per year

Countries citing papers authored by Akash Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Akash Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012146
2 201389
3 201479
4 201718
5 201713
6 20246
7 20206
8 20226
9 20193
10 20213
11 20222
12 20222
13 20232
14 20161
15 20221
16 20171
17 20240
18 20240
19 20260
20 20240

About Akash Goyal

Akash Goyal is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Neurology and Biomedical Engineering, having authored 20 papers that have together received 378 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Ultrasound and Hyperthermia Applications (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), S100 Proteins and Annexins (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Neurology (139 citations), Behavioral Neuroscience (16 citations), Emergency Medicine (31 citations), Epidemiology (114 citations) and Biological Psychiatry (8 citations). Akash Goyal has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Amy K. Wagner, Michelle D. Failla, Anthony Fabio, Christian Niyonkuru, Krutika Amin, Rachel P. Berger, Shannon B. Juengst, Raj G. Kumar, Haishin Ozawa and Juan Carlos Puyana. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Neurotrauma, Journal of Cardiovascular Magnetic Resonance, Circulation Cardiovascular Imaging and Journal of Head Trauma Rehabilitation.

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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