Sibyll Hein

451 total citations
9 papers, 351 citations indexed

About

Sibyll Hein is a scholar working on Immunology, Virology and Oncology. According to data from OpenAlex, Sibyll Hein has authored 9 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Virology and 3 papers in Oncology. Recurrent topics in Sibyll Hein's work include HIV Research and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Virus-based gene therapy research (2 papers). Sibyll Hein is often cited by papers focused on HIV Research and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Virus-based gene therapy research (2 papers). Sibyll Hein collaborates with scholars based in Germany, Denmark and Russia. Sibyll Hein's co-authors include H.T. Mouridsen, Bent Ejlertsen, M. Groenvold, Bent Bruun Kristensen, Henrik Loft, F. Jänicke, Karin Milde‐Langosch, J. Schwarz, Sven� Mahner and Linn Wölber and has published in prestigious journals such as Journal of Virology, British Journal of Cancer and Virology.

In The Last Decade

Sibyll Hein

7 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sibyll Hein Germany	7	175	124	84	55	51	9	351
Kristiann M. Dougherty United States	8	130 0.7×	179 1.4×	20 0.2×	36 0.7×	60 1.2×	9	353
Shiro Aizawa Japan	11	63 0.4×	160 1.3×	76 0.9×	91 1.7×	35 0.7×	33	407
Roberta Thomas United States	9	91 0.5×	194 1.6×	26 0.3×	75 1.4×	30 0.6×	17	360
Aline Martayan Italy	13	122 0.7×	148 1.2×	45 0.5×	287 5.2×	37 0.7×	24	546
Matilde Romero Brazil	10	111 0.6×	93 0.8×	20 0.2×	136 2.5×	26 0.5×	30	357
Yui Harada Japan	11	136 0.8×	92 0.7×	40 0.5×	135 2.5×	71 1.4×	26	324
Hedda H. van Ravenswaay Claasen Netherlands	7	154 0.9×	127 1.0×	31 0.4×	180 3.3×	26 0.5×	10	401
Daniel Zhang United States	11	174 1.0×	216 1.7×	29 0.3×	67 1.2×	65 1.3×	16	471
A. Batova United States	10	161 0.9×	340 2.7×	30 0.4×	62 1.1×	43 0.8×	12	527
Abdul Mohammad Pezeshki Iran	11	144 0.8×	96 0.8×	25 0.3×	218 4.0×	20 0.4×	19	373

Countries citing papers authored by Sibyll Hein

Since Specialization

Citations

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

Fields of papers citing papers by Sibyll Hein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibyll Hein

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

All Works

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9 of 9 papers shown

Hein, Sibyll, Mohammad Naghavi‐Behzad, W. Weber, et al.. (2025). The PREMIO criteria: A further development of the PERCIST criteria for patient-centric response monitoring of solid tumors in PET/CT scans. Nuklearmedizin - NuclearMedicine. 64(1). 78–79.

Hein, Sibyll, Mohammad Naghavi‐Behzad, W. Weber, et al.. (2025). Assessment of new lesions in [18F]FDG-PET/CT scans of metastatic breast cancer patients: A proposal for metastatic breast cancer imaging reporting and data systems (mBI-RADS). Nuklearmedizin - NuclearMedicine. 64(1). 60–60.

Hein, Sibyll, Volkmar Müller, Harriet Wikman, et al.. (2010). Biologic role of activated leukocyte cell adhesion molecule overexpression in breast cancer cell lines and clinical tumor tissue. Breast Cancer Research and Treatment. 129(2). 347–360. 33 indexed citations

Mahner, Sven�, J. Schwarz, Sibyll Hein, et al.. (2008). C-Fos expression is a molecular predictor of progression and survival in epithelial ovarian carcinoma. British Journal of Cancer. 99(8). 1269–1275. 107 indexed citations

Hein, Sibyll, Heike Fiegler, Timm Schroeder, et al.. (2003). Transient expression of PU.1 commits multipotent progenitors to a myeloid fate whereas continued expression favors macrophage over granulocyte differentiation. Experimental Hematology. 31(1). 39–47. 42 indexed citations

Hein, Sibyll, Vladimir Prassolov, Yuanming Zhang, et al.. (2003). Sodium-Dependent myo -Inositol Transporter 1 Is a Cellular Receptor for Mus cervicolor M813 Murine Leukemia Virus. Journal of Virology. 77(10). 5926–5932. 25 indexed citations

Prassolov, Vladimir, Sibyll Hein, Gabriel Rütter, et al.. (2001). The Mus cervicolor MuLV Isolate M813 Is Highly Fusogenic and Induces a T-Cell Lymphoma Associated with Large Multinucleated Cells. Virology. 290(1). 39–49. 6 indexed citations

Prassolov, Vladimir, et al.. (2001). Mus cervicolor Murine Leukemia Virus Isolate M813 Belongs to a Unique Receptor Interference Group. Journal of Virology. 75(10). 4490–4498. 11 indexed citations

Kristensen, Bent Bruun, Bent Ejlertsen, M. Groenvold, et al.. (1999). Oral clodronate in breast cancer patients with bone metastases: a randomized study. Journal of Internal Medicine. 246(1). 67–74. 127 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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