Kita Sallabanda

2.2k citations
22 papers · 1.3k indexed · 3 hit papers · h-index 11

Kita Sallabanda

20 papers receiving 1.3k citations

Hit Papers

EANO guideline on the diagnosis and managem...3502016202620192022100200300400500

Peers

Kita Sallabanda
Comparison fields: 5 of 63
  • Neurology 789
  • Genetics 381
  • Epidemiology 1.1k
  • Endocrinology, Diabetes and Metabolism 239
  • Surgery 411
Replace Wen‐Yuh Chung with:
Wen‐Yuh Chung Taiwan
Huai‐Che Yang Taiwan
David Scheie Denmark
Joseph Bovi United States
L. Dade Lunsford United States
Robert M. Starke United States
Daniel Pieper United States
Rajiv Mangla United States
Eric Suero Molina Germany
Cheng-Ying Shiau Taiwan
Kita Sallabanda relative to Wen‐Yuh Chung Taiwan Wen‐Yuh Chung's profile →
Citations per field
00.5×
Wen‐Yuh Chung · 1×
Citations per year

Countries citing papers authored by Kita Sallabanda

Since Specialization
Citations

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

Fields of papers citing papers by Kita Sallabanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3
EANO guideline on the diagnosis and management of meningiomasbreakdown →
2021350
4 202116
5 20213
6 20200
7
EANO guideline on the diagnosis and treatment of vestibular schwannomabreakdown →
2019230
8 20197
9 201810
10 201613
11
EANO guidelines for the diagnosis and treatment of meningiomasbreakdown →
2016571
12 20141
13 20131
14 201211
15 20115
16 201117
17 20116
18
Stereotactic radiosurgery in pituitary adenomas: long-term single institution experience and role of the hypothalamic-pituitary axis.
20112
19 201039
20 200914

About Kita Sallabanda

Kita Sallabanda is a scholar working on Genetics, Neurology and Epidemiology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (14 papers), Vascular Malformations Diagnosis and Treatment (10 papers), Glioma Diagnosis and Treatment (8 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Brain Metastases and Treatment (4 papers), Spinal Fractures and Fixation Techniques (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Cervical and Thoracic Myelopathy (2 papers). The work is most often cited by research in Neurology (789 citations), Genetics (381 citations) and Epidemiology (1.1k citations). Kita Sallabanda has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include Florence Lefranc, Pantelis Stavrinou, Roland Goldbrunner, Morten Lund‐Johansen, Michael Weller, Giuseppe Minniti, Michael D. Jenkinson, Riccardo Soffietti, Matthias Preusser and Roger Henriksson. Their work appears in journals such as The Lancet Oncology, International Journal of Radiation Oncology*Biology*Physics and Neuro-Oncology.

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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