Marcel Smid

27.2k citations
152 papers · 7.0k indexed · 2 hit papers · h-index 43

Marcel Smid

147 papers receiving 6.9k citations

Hit Papers

Latent Bone Metastasis in Breast Cancer Tied to Src-Depen...5202008202620142020200400600

Peers

Marcel Smid
Comparison fields: 5 of 149
  • Cancer Research 2.7k
  • Oncology 3.1k
  • Molecular Biology 3.7k
  • Computer Graphics and Computer-Aided Design 121
  • Pulmonary and Respiratory Medicine 1.1k
Replace Kai Wang with:
Kai Wang China
Thomas M. Gress Germany
Kenoki Ohuchida Japan
Malte Buchholz Germany
David Salomon United States
Matti Nykter Finland
Étienne Becht France
Johan Hartman Sweden
François Pépin Canada
Shinji Tanaka Japan
Marcel Smid relative to Kai Wang China Kai Wang's profile →
Citations per field
00.5×4.3×
Kai Wang · 1×
Citations per year

Countries citing papers authored by Marcel Smid

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Smid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20236
3 20223
4 20210
5 20212
6 202145
7 20216
8 2021135
9 202021
10 202016
11 201937
12 201864
13 201847
14 201843
15 201767
16 201462
17 2012145
18 200970
19 200823
20
Subtypes of Breast Cancer Show Preferential Site of Relapsebreakdown →
2008622

About Marcel Smid

Marcel Smid is a scholar working on Cancer Research, Computer Graphics and Computer-Aided Design, Oncology, Molecular Biology and Immunology and Allergy, having authored 152 papers that have together received 7.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (31 papers), Cancer Cells and Metastasis (23 papers), Cancer-related Molecular Pathways (13 papers), Breast Cancer Treatment Studies (11 papers), Cancer-related molecular mechanisms research (11 papers), Molecular Biology Techniques and Applications (10 papers), Genetic factors in colorectal cancer (10 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (2.7k citations), Oncology (3.1k citations), Molecular Biology (3.7k citations), Computer Graphics and Computer-Aided Design (121 citations) and Pulmonary and Respiratory Medicine (1.1k citations). Marcel Smid has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include John A. Foekens, John W.M. Martens, Anieta M. Sieuwerts, Jan G.M. Klijn, Yixin Wang, Maxime P. Look, Stefan Sleijfer, Xiang H.-F. Zhang, Joan Massagué and Jack X. Yu. Their work appears in journals such as Cancer Research, Scientific Reports, Breast Cancer Research, Cancers and Breast Cancer Research and Treatment.

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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