Daniel Giang

857 citations
18 papers · 703 · h-index 12

Impact in

    • Multiple Sclerosis Research Studies
  • Neurology top 10%
    • Peripheral Neuropathies and Disorders
    • Intracranial Aneurysms: Treatment and Complications
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Daniel Giang

18 papers receiving 654 citations

Peers

Daniel Giang
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 318
  • Neurology 182
  • Neurology 65
  • Developmental Neuroscience 23
  • Psychiatry and Mental health 81
Replace Antonio Escartín with:
Antonio Escartín Spain
A. J. Steck Switzerland
Margarete M. Voortman Austria
Marco Frontoni Italy
L. D. Blumhardt United Kingdom
F.W. Bertelsmann Netherlands
Shelley Ann Cross United States
M. P. McQuillen United States
Alan McDougall Australia
Cullen O’Gorman Australia
Daniel Giang relative to Antonio Escartín Spain Antonio Escartín's profile →
Citations per field
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Antonio Escartín · 1×
Citations per year

Countries citing papers authored by Daniel Giang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Giang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Daniel Giang, 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 Daniel Giang Line = papers co-authored together Daniel Giang links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1999129
2 201699
3 199681
4 199273
5 198869
6 201559
7 199143
8 198838
9 199429
10 198922
11 202015
12 199413
13 199811
14 19938
15 20196
16
Atenolol overdosage in a patient with progressive renal failure.
19864
17 20223
18 19931

About Daniel Giang

Daniel Giang is a scholar working on Pathology and Forensic Medicine, Neurology, Gender Studies, Psychiatry and Mental health and Rheumatology, having authored 18 papers that have together received 703 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Innovations in Medical Education (3 papers), Diversity and Career in Medicine (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Medical Education and Admissions (2 papers), Blood disorders and treatments (2 papers), Antibiotics Pharmacokinetics and Efficacy (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (318 citations), Neurology (182 citations), Neurology (65 citations), Developmental Neuroscience (23 citations) and Psychiatry and Mental health (81 citations). Daniel Giang has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Randolph B. Schiffer, Andrew D. Goodman, Michael McDermott, Amy R. Weinstein, Sarah M. Roddy, Margaret C. McBride, Ahmad Monajati, Joshua Hollander, Robert Ader and Leena Ketonen. Their work appears in journals such as Neurology, Seminars in Neurology, Neuroradiology, Academic Medicine and Pediatric Neurology.

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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