Jennie Malmberg

535 total citations
12 papers, 460 citations indexed

About

Jennie Malmberg is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jennie Malmberg has authored 12 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jennie Malmberg's work include Radiopharmaceutical Chemistry and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Glycosylation and Glycoproteins Research (3 papers). Jennie Malmberg is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Glycosylation and Glycoproteins Research (3 papers). Jennie Malmberg collaborates with scholars based in Sweden, Iran and Denmark. Jennie Malmberg's co-authors include Anna Orlova, Vladimir Tolmachev, Mattias Sandström, Seyed Jalal Hosseinimehr, Torbjörn Gräslund, Camilla Hofström, Zohreh Varasteh, Lars Abrahmsén, Mohamed Altai and Helena Wållberg and has published in prestigious journals such as Journal of Medicinal Chemistry, Bioconjugate Chemistry and Journal of Nuclear Medicine.

In The Last Decade

Jennie Malmberg

12 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennie Malmberg Sweden 11 398 224 136 74 30 12 460
Joanna Strand Sweden 14 431 1.1× 259 1.2× 149 1.1× 72 1.0× 27 0.9× 26 511
Maria� Rosestedt Sweden 11 307 0.8× 222 1.0× 128 0.9× 69 0.9× 49 1.6× 20 415
Kristin McLarty Canada 12 400 1.0× 267 1.2× 130 1.0× 66 0.9× 12 0.4× 15 516
Catherine Maurel France 14 299 0.8× 144 0.6× 87 0.6× 115 1.6× 21 0.7× 25 476
Donna J. Affleck United States 15 369 0.9× 141 0.6× 127 0.9× 75 1.0× 58 1.9× 29 542
Camilla Hofström Sweden 9 274 0.7× 165 0.7× 124 0.9× 33 0.4× 8 0.3× 16 350
Catherine Saï-Maurel France 14 323 0.8× 126 0.6× 84 0.6× 64 0.9× 29 1.0× 24 422
Kevin L. Alston United States 11 341 0.9× 122 0.5× 76 0.6× 72 1.0× 21 0.7× 12 412
Yvonne H. W. Derks Netherlands 11 197 0.5× 170 0.8× 105 0.8× 213 2.9× 23 0.8× 16 479
Shizhen Zhai China 8 324 0.8× 227 1.0× 105 0.8× 82 1.1× 88 2.9× 13 505

Countries citing papers authored by Jennie Malmberg

Since Specialization
Citations

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

Fields of papers citing papers by Jennie Malmberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennie Malmberg

This figure shows the co-authorship network connecting the top 25 collaborators of Jennie Malmberg. A scholar is included among the top collaborators of Jennie Malmberg 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 Jennie Malmberg. Jennie Malmberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Tolmachev, Vladimir, Jennie Malmberg, Sergio Estrada, Olof Eriksson, & Anna Orlova. (2014). Development of a 124I-labeled version of the anti-PSMA monoclonal antibody capromab for immunoPET staging of prostate cancer: Aspects of labeling chemistry and biodistribution. International Journal of Oncology. 44(6). 1998–2008. 14 indexed citations
2.
Honarvar, Hadis, Karl Andersson, Jennie Malmberg, et al.. (2013). Evaluation of backbone-cyclized HER2-binding 2-helix Affibody molecule for In Vivo molecular imaging. Nuclear Medicine and Biology. 40(3). 378–386. 16 indexed citations
3.
Varasteh, Zohreh, Irina Velikyan, Gunnar Lindeberg, et al.. (2013). Synthesis and Characterization of a High-Affinity NOTA-Conjugated Bombesin Antagonist for GRPR-Targeted Tumor Imaging. Bioconjugate Chemistry. 24(7). 1144–1153. 72 indexed citations
4.
Hofström, Camilla, Mohamed Altai, Hadis Honarvar, et al.. (2013). HAHAHA, HEHEHE, HIHIHI, or HKHKHK: Influence of Position and Composition of Histidine Containing Tags on Biodistribution of [99mTc(CO)3]+-Labeled Affibody Molecules. Journal of Medicinal Chemistry. 56(12). 4966–4974. 57 indexed citations
5.
Rosik, Daniel, Anna Orlova, Jennie Malmberg, et al.. (2011). Direct comparison of 111In-labelled two-helix and three-helix Affibody molecules for in vivo molecular imaging. European Journal of Nuclear Medicine and Molecular Imaging. 39(4). 693–702. 12 indexed citations
6.
Orlova, Anna, Jennie Malmberg, Camilla Hofström, et al.. (2011). Affibody molecule 111In-DOTA-ZIGF1R:4551, a new potential probe for imaging of IGF-1R expression in malignant tumours. European Journal of Nuclear Medicine and Molecular Imaging. 38. 1 indexed citations
7.
Wållberg, Helena, Anna Orlova, Seyed Jalal Hosseinimehr, et al.. (2011). Molecular Design and Optimization of 99mTc-Labeled Recombinant Affibody Molecules Improves Their Biodistribution and Imaging Properties. Journal of Nuclear Medicine. 52(3). 461–469. 83 indexed citations
8.
Malmberg, Jennie, Mattias Sandström, Kenneth Wester, Vladimir Tolmachev, & Anna Orlova. (2011). Comparative biodistribution of imaging agents for in vivo molecular profiling of disseminated prostate cancer in mice bearing prostate cancer xenografts: focus on 111In- and 125I-labeled anti-HER2 humanized monoclonal trastuzumab and ABY-025 Affibody. Nuclear Medicine and Biology. 38(8). 1093–1102. 28 indexed citations
9.
Malmberg, Jennie, Anna Perols, Zohreh Varasteh, et al.. (2011). Comparative evaluation of synthetic anti-HER2 Affibody molecules site-specifically labelled with 111In using N-terminal DOTA, NOTA and NODAGA chelators in mice bearing prostate cancer xenografts. European Journal of Nuclear Medicine and Molecular Imaging. 39(3). 481–492. 38 indexed citations
10.
Malmberg, Jennie, Vladimir Tolmachev, & Anna Orlova. (2011). Imaging agents for in vivo molecular profiling of disseminated prostate cancer: Cellular processing of [111In]-labeled CHX-A″DTPA-trastuzumab and anti-HER2 ABY-025 Affibody in prostate cancer cell lines. Experimental and Therapeutic Medicine. 2(3). 523–528. 22 indexed citations
11.
Tolmachev, Vladimir, Jennie Malmberg, Camilla Hofström, et al.. (2011). Imaging of Insulinlike Growth Factor Type 1 Receptor in Prostate Cancer Xenografts Using the Affibody Molecule111In-DOTA-ZIGF1R:4551. Journal of Nuclear Medicine. 53(1). 90–97. 45 indexed citations
12.
Tolmachev, Vladimir, Camilla Hofström, Jennie Malmberg, et al.. (2010). HEHEHE-Tagged Affibody Molecule May Be Purified by IMAC, Is Conveniently Labeled with [99mTc(CO)3]+, and Shows Improved Biodistribution with Reduced Hepatic Radioactivity Accumulation. Bioconjugate Chemistry. 21(11). 2013–2022. 72 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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