Georg Widhalm

10.1k citations
215 papers · 5.9k · 1 hit paper · h-index 40

Impact in

Papers in

Georg Widhalm

203 papers receiving 5.8k citations

Georg Widhalm's Hit Papers

Programmed death ligand 1 expression and tumor-infiltrating lymphocytes in glioblastoma 2014 · 452 citations
4520+4+8Years since publication100200300400

Peers

Georg Widhalm
Comparison fields: 5 of 119
  • Genetics 1.9k
  • Pulmonary and Respiratory Medicine 1.6k
  • Oncology 1.2k
  • Neurology 450
  • Cancer Research 388
Replace Steven N. Kalkanis with:
Steven N. Kalkanis United States
Xiaobu Ye United States
Anna S. Berghoff Austria
Gelareh Zadeh Canada
Gino Cioffi United States
Michael B. Sisti United States
John L. Villano United States
Matthew G. Ewend United States
Akitake Mukasa Japan
Dima Suki United States
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Citations per field
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Steven N. Kalkanis · 1×
Citations per year

Countries citing papers authored by Georg Widhalm

Since Specialization
Citations

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

Fields of papers citing papers by Georg Widhalm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Programmed death ligand 1 expression and tumor-infiltrating lymphocytes in glioblastoma
Hit paper breakdown →
2014452
2 2015275
3 2015233
4 2017213
5 2016173
6 2010170
7 2013134
8 2016104
9 201796
10 201395
11 201489
12 201285
13 202079
14 201378
15 201877
16 201872
17 201669
18 201868
19 201962
20 201262

About Georg Widhalm

Georg Widhalm is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 215 papers that have together received 5.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (71 papers), Brain Metastases and Treatment (50 papers), Cancer Immunotherapy and Biomarkers (17 papers), Nanoplatforms for cancer theranostics (14 papers), Meningioma and schwannoma management (13 papers), Lung Cancer Research Studies (12 papers), Advanced MRI Techniques and Applications (11 papers) and Photodynamic Therapy Research Studies (9 papers). The work is most often cited by research in Genetics (1.9k citations), Pulmonary and Respiratory Medicine (1.6k citations), Oncology (1.2k citations), Neurology (450 citations) and Cancer Research (388 citations). Georg Widhalm has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Matthias Preusser, Anna S. Berghoff, Karin Dieckmann, Barbara Kiesel, Johannes A. Hainfellner, Engelbert Knosp, Christine Marosi, Adelheid Wöhrer, Peter Birner and Stefan Wolfsberger. Their work appears in journals such as Neuro-Oncology, Cancers, Annals of Oncology, Journal of neurosurgery and Journal of Clinical 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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