Daniela Kandioler

2.3k citations
55 papers · 1.7k · h-index 23

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related Molecular Pathways 6
    • HER2/EGFR in Cancer Research 3
    • Breast Cancer Treatment Studies 8
    • Cancer Genomics and Diagnostics 5

Daniela Kandioler

53 papers receiving 1.7k citations

Peers

Daniela Kandioler
Comparison fields: 5 of 80
  • Cancer Research 407
  • Oncology 589
  • Hepatology 110
  • Pathology and Forensic Medicine 137
  • Pulmonary and Respiratory Medicine 234
Replace Takashi Sakatani with:
Takashi Sakatani Japan
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Feng-Hua Wang China
Megumi Ishiguro Japan
Yutaka Ogata Japan
Nobuyuki Mizunuma Japan
Tae-You Kim South Korea
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Diana L. Hanna United States
Daniela Kandioler relative to Takashi Sakatani Japan Takashi Sakatani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Kandioler

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Kandioler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003211
2 2018159
3 1998129
4 2010105
5 200385
6 200285
7 200774
8 200367
9 200266
10 200643
11 201443
12 201542
13 200342
14 200441
15 200437
16 201536
17 200836
18 200034
19 200833
20
Expression of p21(Wafl/Cip1), p57(Kip2) and HER2/neu in patients with gallbladder cancer.
200732

About Daniela Kandioler

Daniela Kandioler is a scholar working on Oncology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Esophageal Cancer Research and Treatment (7 papers), Cancer-related Molecular Pathways (6 papers), Gastric Cancer Management and Outcomes (5 papers), Cancer Genomics and Diagnostics (5 papers), HER2/EGFR in Cancer Research (3 papers), Fibroblast Growth Factor Research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Cancer Research (407 citations), Oncology (589 citations), Hepatology (110 citations), Pathology and Forensic Medicine (137 citations) and Pulmonary and Respiratory Medicine (234 citations). Daniela Kandioler has collaborated with scholars based in Austria, United States and Netherlands. Frequent co-authors include R. Jakesz, Michael Gnant, R. Roka, Susanne Taucher, Peter Dubsky, Margaretha Rudas, Thomas Bachleitner‐Hofmann, Martin Schindl, Philipp Riss and Michael Bolliger. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Annals of the New York Academy of Sciences, Breast Cancer Research and Treatment, European Journal of Surgical Oncology and British Journal of Cancer.

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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