Yassine Belloum

631 total citations · 1 hit paper
8 papers, 423 citations indexed

About

Yassine Belloum is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Yassine Belloum has authored 8 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Yassine Belloum's work include Cancer Genomics and Diagnostics (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Cells and Metastasis (3 papers). Yassine Belloum is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Cells and Metastasis (3 papers). Yassine Belloum collaborates with scholars based in Germany, France and Netherlands. Yassine Belloum's co-authors include Harriet Wikman, Klaus Pantel, Laura Keller, F. Favier, Françoise Rannou‐Bekono, Élodie Jublanc, Yann S. Gallot, Damien Freyssenet, Marine Blaquière and Ronald Simon and has published in prestigious journals such as British Journal of Cancer, Clinical Chemistry and Cells.

In The Last Decade

Yassine Belloum

8 papers receiving 420 citations

Hit Papers

Clinical relevance of blood-based ctDNA analysis: mutatio... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yassine Belloum Germany 7 273 190 160 111 57 8 423
Yiying Wang China 13 114 0.4× 187 1.0× 189 1.2× 64 0.6× 31 0.5× 25 485
Binliang Liu China 12 183 0.7× 134 0.7× 228 1.4× 134 1.2× 38 0.7× 34 384
Meifu Gan China 12 119 0.4× 202 1.1× 91 0.6× 98 0.9× 38 0.7× 47 409
Christina Alidousty Germany 12 131 0.5× 209 1.1× 116 0.7× 104 0.9× 30 0.5× 18 408
Maria Farooq United States 7 294 1.1× 201 1.1× 168 1.1× 115 1.0× 72 1.3× 15 437
Fredrika Killander Sweden 12 240 0.9× 54 0.3× 199 1.2× 73 0.7× 94 1.6× 25 411
Xiu-Bao Ren China 11 129 0.5× 180 0.9× 292 1.8× 78 0.7× 19 0.3× 21 545
James P. De Andrade United States 12 85 0.3× 195 1.0× 134 0.8× 100 0.9× 15 0.3× 25 400
Elisa Paviati Italy 10 189 0.7× 204 1.1× 50 0.3× 24 0.2× 36 0.6× 17 349

Countries citing papers authored by Yassine Belloum

Since Specialization
Citations

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

Fields of papers citing papers by Yassine Belloum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yassine Belloum

This figure shows the co-authorship network connecting the top 25 collaborators of Yassine Belloum. A scholar is included among the top collaborators of Yassine Belloum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yassine Belloum. Yassine Belloum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Abdo, Mustafa, Yassine Belloum, David F. Heigener, et al.. (2023). Comparative evaluation of PD‐L1 expression in cytology imprints, circulating tumour cells and tumour tissue in non‐small cell lung cancer patients. Molecular Oncology. 17(5). 737–746. 8 indexed citations
2.
Nitschke, Christine, Walter Philipp, Anita Badbaran, et al.. (2023). Peripheral and Portal VenousKRASctDNA Detection as Independent Prognostic Markers of Early Tumor Recurrence in Pancreatic Ductal Adenocarcinoma. Clinical Chemistry. 69(3). 295–307. 17 indexed citations
3.
Nitschke, Christine, Yassine Belloum, Hartmut Schlüter, et al.. (2022). Characterization of RARRES1 Expression on Circulating Tumor Cells as Unfavorable Prognostic Marker in Resected Pancreatic Ductal Adenocarcinoma Patients. Cancers. 14(18). 4405–4405. 11 indexed citations
4.
Nitschke, Christine, Leonie Konczalla, Yassine Belloum, et al.. (2022). Circulating tumor-macrophage fusion cells as stage independent, unfavourable, prognostic markers in Pancreatic Ductal Adenocarcinoma. European Journal of Surgical Oncology. 48(2). e131–e132. 2 indexed citations
5.
Keller, Laura, Yassine Belloum, Harriet Wikman, & Klaus Pantel. (2020). Clinical relevance of blood-based ctDNA analysis: mutation detection and beyond. British Journal of Cancer. 124(2). 345–358. 274 indexed citations breakdown →
6.
Belloum, Yassine, Melanie Janning, Malte Mohme, et al.. (2020). Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay. Cells. 9(11). 2337–2337. 14 indexed citations
7.
Britto, Florian, Yassine Belloum, Marine Blaquière, et al.. (2018). Glucocorticoid-dependent REDD1 expression reduces muscle metabolism to enable adaptation under energetic stress. BMC Biology. 16(1). 65–65. 37 indexed citations
8.
Belloum, Yassine, Françoise Rannou‐Bekono, & F. Favier. (2017). Cancer-induced cardiac cachexia: Pathogenesis and impact of physical activity. Oncology Reports. 37(5). 2543–2552. 60 indexed citations

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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