Camilla Hofström
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Vladimir TolmachevTorbjörn GräslundAnna OrlovaMohamed AltaiMattias SandströmJennie MalmbergSeyed Jalal HosseinimehrLars Abrahmsén
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)Radiopharmaceutical Chemistry and Applications (6 papers)Glycosylation and Glycoproteins Research (5 papers)
- Partner nations
- SwedenIranUnited States
In The Last Decade
Camilla Hofström
15 papers receiving 349 citations
Peers
Comparison fields: 5 of 38
- Radiology, Nuclear Medicine and Imaging 274
- Oncology 165
- Molecular Biology 124
- Pulmonary and Respiratory Medicine 33
- Endocrinology, Diabetes and Metabolism 28
Countries citing papers authored by Camilla Hofström
This map shows the geographic impact of Camilla Hofström'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 Camilla Hofström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camilla Hofström more than expected).
Fields of papers citing papers by Camilla Hofström
This network shows the impact of papers produced by Camilla Hofström. 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 Camilla Hofström. The network helps show where Camilla Hofström may publish in the future.
Co-authorship network of co-authors of Camilla Hofström
This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Hofström. A scholar is included among the top collaborators of Camilla Hofström 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 Camilla Hofström. Camilla Hofström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 57 | |
| 10 | 37 | |
| 11 | 20 | |
| 12 | 51 | |
| 13 | Affibody molecule 111In-DOTA-ZIGF1R:4551, a new potential probe for imaging of IGF-1R expression in malignant tumours | 1 |
| 14 | 3 | |
| 15 | 45 | |
| 16 | 72 |
About Camilla Hofström
Camilla Hofström is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 16 papers that have together received 350 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (274 citations), Oncology (165 citations) and Cancer Research (28 citations). Camilla Hofström has collaborated with scholars based in Sweden, Iran and United States. Frequent co-authors include Vladimir Tolmachev, Torbjörn Gräslund, Anna Orlova, Mohamed Altai, Mattias Sandström, Jennie Malmberg, Seyed Jalal Hosseinimehr, Lars Abrahmsén, Joanna Strand and Hadis Honarvar. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.
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.