Spyros Tsavachidis

714 citations
16 papers · 330 indexed · h-index 10

Spyros Tsavachidis

16 papers receiving 329 citations

Peers

Spyros Tsavachidis
Comparison fields: 5 of 58
  • Genetics 86
  • Cancer Research 104
  • Molecular Biology 196
  • Oncology 75
  • General Decision Sciences 4
Replace Chiara Pesenti with:
Chiara Pesenti Italy
Kwang Seok Lee Germany
Pedro Marques Ramos Switzerland
Lillian Sams United States
Gianmarco Motta Italy
Manuela Gili Spain
Chia-Ing Jan Taiwan
Jill N. Vilaythong United States
Stephanie Santiago United States
R. Sibson United Kingdom
Spyros Tsavachidis relative to Chiara Pesenti Italy Chiara Pesenti's profile →
Citations per field
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Chiara Pesenti · 1×
Citations per year

Countries citing papers authored by Spyros Tsavachidis

Since Specialization
Citations

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

Fields of papers citing papers by Spyros Tsavachidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20244
2 20222
3 201427
4 20138
5 201138
6 201116
7 201062
8 201017
9 201011
10 201095
11 20091
12 20091
13
Merging microarray data, robust feature selection, and predicting prognosis in prostate cancer.
200721
14 200617
15 20051
16
Eliminating Incoherence from Subjective Estimates of Chance.
20029

About Spyros Tsavachidis

Spyros Tsavachidis is a scholar working on General Decision Sciences, Cancer Research and Otorhinolaryngology, having authored 16 papers that have together received 330 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Glioma Diagnosis and Treatment (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Genetics (86 citations), Cancer Research (104 citations) and Molecular Biology (196 citations). Spyros Tsavachidis has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Melissa L. Bondy, Beatrice Melin, Ulrika Andersson, Yanhong Liu, Patricia A. Thompson, Abenaa M. Brewster, Georgina Armstrong, Sanjay Shete, Ayşegül A. Şahin and Fu‐Wen Liang. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

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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