Dan Ribom

500 citations
14 papers · 385 · h-index 11

Impact in

Papers in

Dan Ribom

14 papers receiving 378 citations

Peers

Dan Ribom
Comparison fields: 5 of 50
  • Genetics 253
  • Radiology, Nuclear Medicine and Imaging 157
  • Cancer Research 90
  • Biochemistry 26
  • Neurology 41
Replace Mart A. A. M. Heesters with:
Mart A. A. M. Heesters Netherlands
Ryan S. Youland United States
Kirsten Grunnet Denmark
Thomas Hölzer Switzerland
Takuo Inui Japan
Hunt We United States
Katsusuke Kyotani Japan
Shapiro Wr United States
Fabienne Escande France
Eva Riedel Germany
Dan Ribom relative to Mart A. A. M. Heesters Netherlands Mart A. A. M. Heesters's profile →
Citations per field
00.5×1.5×
Mart A. A. M. Heesters · 1×
Citations per year

Countries citing papers authored by Dan Ribom

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ribom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001123
2 201341
3 201138
4 200937
5 200730
6 200226
7 200521
8 200319
9 200218
10 200314
11 200513
12 20033
13
[MET-PET in low-grade glioma. Safe way to follow disease progression and treatment].
20071
14
[Risk of increased malignancy a reason for follow-up of low malignancy grade glioma. Early identification of high-risk patients is the key to good care].
20001

About Dan Ribom

Dan Ribom is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Neurology and Oncology, having authored 14 papers that have together received 385 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (6 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Meningioma and schwannoma management (1 paper), Lymphatic System and Diseases (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Genetics (253 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Cancer Research (90 citations), Biochemistry (26 citations) and Neurology (41 citations). Dan Ribom has collaborated with scholars based in Sweden, Germany and China. Frequent co-authors include Anja Smits, Henry Engler, Magdalena Hartman‐Petrycka, Anna Nilsson, Hans Bolander, B. L�ngstr�m, Shala Ghaderi Berntsson, Eva Westerberg, Torsten Danfors and Tamador Elsir. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Cancer, British Journal of Cancer, Neurological Research and Neurological Sciences.

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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