Yuna Blum

3.0k citations
35 papers · 1.1k indexed · 1 hit paper · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

Yuna Blum

34 papers receiving 1.1k citations

Hit Papers

Stratification of Pancreatic Ductal Adenocarcinomas Based on Tumor and Microenvironment Features 2018 · 301 citations
3012018202620202023100200300

Peers

Yuna Blum
Comparison fields: 5 of 96
  • Cancer Research 245
  • Oncology 419
  • Biological Psychiatry 28
  • Physiology 231
  • Endocrine and Autonomic Systems 55
Replace Adebowale Adeyemi with:
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Qixia Xu China
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Daniel P. Heruth United States
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Yuna Blum relative to Adebowale Adeyemi United States Adebowale Adeyemi's profile →
Citations per field
00.5×2.6×
Adebowale Adeyemi · 1×
Citations per year

Countries citing papers authored by Yuna Blum

Since Specialization
Citations

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

Fields of papers citing papers by Yuna Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20251
4 20232
5 20222
6 202137
7 202021
8 202015
9 202025
10 201912
11
Stratification of Pancreatic Ductal Adenocarcinomas Based on Tumor and Microenvironment Features
Hit paper breakdown →
2018301
12 20181
13 201837
14 2017249
15 201698
16 201621
17 201612
18 201216
19 20113
20 20119

About Yuna Blum

Yuna Blum is a scholar working on Cancer Research, Oncology, Endocrine and Autonomic Systems, Biochemistry and Molecular Biology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (7 papers), Occupational and environmental lung diseases (5 papers), Bioinformatics and Genomic Networks (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Cancer Research (245 citations), Oncology (419 citations), Biological Psychiatry (28 citations), Physiology (231 citations) and Endocrine and Autonomic Systems (55 citations). Yuna Blum has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Aurélien de Reyniès, Aldons J. Lusis, Nabila Elarouci, Zeneng Wang, Pasi Soininen, Johanna Kuusisto, Rémy Nicolle, Markku Laakso, Elin Org and Jérôme Cros. Their work appears in journals such as BMC Bioinformatics, BMC Genomics, Scientific Reports, Cancers 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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