Daniel Hänggi

16.7k citations
276 papers · 12.9k · 9 hit papers · h-index 47

Impact in

  • Genetics top 0.1%
    • Glioma Diagnosis and Treatment
  • Neurology top 0.1%
    • Intracranial Aneurysms: Treatment and Complications
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Vascular Malformations Diagnosis and Treatment
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

    • Intracranial Aneurysms: Treatment and Complications 114
    • Intracerebral and Subarachnoid Hemorrhage Research 19
    • Vascular Malformations Diagnosis and Treatment 16
    • Neurosurgical Procedures and Complications 8
    • Glioma Diagnosis and Treatment 42

Daniel Hänggi

266 papers receiving 12.7k citations

Daniel Hänggi's Hit Papers

Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated 2021 · 182 citations
1820+5+10Years since publication5001k1.5k2k

Peers

Daniel Hänggi
Comparison fields: 5 of 140
  • Genetics 3.9k
  • Neurology 4.3k
  • Epidemiology 1.3k
  • Cancer Research 543
  • Neurology 263
Replace William Peter Vandertop with:
William Peter Vandertop Netherlands
Ricardo J. Komotar United States
Jacoline E. C. Bromberg Netherlands
Maria Martinez‐Lage United States
Daniel Honore Lachance United States
Volkmar Hans Germany
Luca Regli Switzerland
Gelareh Mohammed Zadeh Canada
Gabriele Schackert Germany
Martin U. Schuhmann Germany
Daniel Hänggi relative to William Peter Vandertop Netherlands William Peter Vandertop's profile →
Citations per field
00.5×1.5×
William Peter Vandertop · 1×
Citations per year

Countries citing papers authored by Daniel Hänggi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hänggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 276 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DNA methylation-based classification of central nervous system tumours
Hit paper breakdown →
20182219
2
Critical Care Management of Patients Following Aneurysmal Subarachnoid Hemorrhage: Recommendations from the Neurocritical Care Society’s Multidisciplinary Consensus Conference
Hit paper breakdown →
2011868
3
Glutamatergic synaptic input to glioma cells drives brain tumour progression
Hit paper breakdown →
2019843
4
DNA methylation-based classification and grading system for meningioma: a multicentre, retrospective analysis
Hit paper breakdown →
2017655
5
Suppression of antitumor T cell immunity by the oncometabolite (R)-2-hydroxyglutarate
Hit paper breakdown →
2018464
6
Practical implementation of DNA methylation and copy-number-based CNS tumor diagnostics: the Heidelberg experience
Hit paper breakdown →
2018418
7
Novel, improved grading system(s) for IDH-mutant astrocytic gliomas
Hit paper breakdown →
2018354
8
The unruptured intracranial aneurysm treatment score
Hit paper breakdown →
2015335
9 2018248
10 2018239
11 2017232
12 2018210
13 2010190
14
Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated
Hit paper breakdown →
2021182
15 2016149
16 2012134
17 2019120
18 2015117
19 2018106
20 200898

About Daniel Hänggi

Daniel Hänggi is a scholar working on Neurology, Genetics, Epidemiology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 276 papers that have together received 12.9k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (114 papers), Glioma Diagnosis and Treatment (42 papers), Intracerebral and Subarachnoid Hemorrhage Research (19 papers), Vascular Malformations Diagnosis and Treatment (16 papers), Meningioma and schwannoma management (11 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Acute Ischemic Stroke Management (9 papers) and Neurosurgical Procedures and Complications (8 papers). The work is most often cited by research in Genetics (3.9k citations), Neurology (4.3k citations), Epidemiology (1.3k citations), Cancer Research (543 citations) and Neurology (263 citations). Daniel Hänggi has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Hans‐Jakob Steiger, Nima Etminan, Bernd Turowski, Kerim Beseoglu, Hans Jakob Steiger, Walter Stummer, Marcel Alexander Kamp, Sajjad Muhammad, Robert Loch Macdonald and Jan Frederick Cornelius. Their work appears in journals such as Acta Neurochirurgica, Neurosurgery, Stroke, Neurocritical Care and Acta Neuropathologica.

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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