Jan G. Hengstler

33.8k total citations · 2 hit papers
485 papers, 18.1k citations indexed

About

Jan G. Hengstler is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jan G. Hengstler has authored 485 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Molecular Biology, 99 papers in Cancer Research and 92 papers in Oncology. Recurrent topics in Jan G. Hengstler's work include Carcinogens and Genotoxicity Assessment (64 papers), Liver physiology and pathology (58 papers) and Liver Disease Diagnosis and Treatment (38 papers). Jan G. Hengstler is often cited by papers focused on Carcinogens and Genotoxicity Assessment (64 papers), Liver physiology and pathology (58 papers) and Liver Disease Diagnosis and Treatment (38 papers). Jan G. Hengstler collaborates with scholars based in Germany, Egypt and United Kingdom. Jan G. Hengstler's co-authors include Franz Oesch, Marcus Schmidt, Jörg Rahnenführer, Michael Arand, Mathias Gehrmann, Wiebke Schormann, Heidi Foth, Klaus Golka, Patrick Micke and Marc Brulport and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jan G. Hengstler

471 papers receiving 17.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Humoral Immune System Has a Key Prognostic Impact in Node-Negative Breast Cancer

2008 588 citations Marcus Schmidt, Daniel Böhm et al. Cancer Research profile →
Primary Hepatocytes: Current Understanding of the Regulation of Metabolic Enzymes and Transporter Proteins, and Pharmaceutical Practice for the Use of Hepatocytes in Metabolism, Enzyme Induction, Transporter, Clearance, and Hepatotoxicity Studies

2007 530 citations Jan G. Hengstler et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan G. Hengstler Germany	69	7.0k	3.7k	2.7k	2.3k	2.3k	485	18.1k
Fei Liu China	59	6.2k 0.9×	1.6k 0.4×	2.2k 0.8×	1.7k 0.7×	678 0.3×	763	16.6k
Ying Wang China	81	12.8k 1.8×	2.8k 0.8×	2.7k 1.0×	1.4k 0.6×	514 0.2×	1.2k	28.9k
Marcel Leist Germany	77	10.1k 1.5×	1.5k 0.4×	1.3k 0.5×	808 0.3×	707 0.3×	291	19.4k
Keith A. Houck United States	58	8.2k 1.2×	1.9k 0.5×	3.0k 1.1×	1.3k 0.5×	804 0.3×	111	17.0k
Yan Li China	64	8.1k 1.2×	1.7k 0.5×	2.4k 0.9×	2.0k 0.8×	503 0.2×	736	17.9k
Ting Liu China	66	10.7k 1.5×	3.8k 1.0×	3.1k 1.1×	2.1k 0.9×	325 0.1×	1.1k	26.1k
Hiroshi Suzuki Japan	84	10.7k 1.5×	9.2k 2.5×	3.6k 1.3×	3.4k 1.5×	568 0.2×	533	25.8k
Hong Zhang China	73	12.5k 1.8×	3.7k 1.0×	2.7k 1.0×	1.2k 0.5×	345 0.1×	946	25.2k
Cheng Peng China	76	11.6k 1.7×	1.7k 0.5×	2.7k 1.0×	1.3k 0.5×	372 0.2×	963	25.7k
Wěi Li China	90	18.3k 2.6×	10.0k 2.7×	6.6k 2.4×	2.1k 0.9×	613 0.3×	1.4k	44.8k

Countries citing papers authored by Jan G. Hengstler

Since Specialization

Citations

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

Fields of papers citing papers by Jan G. Hengstler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan G. Hengstler. 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 Jan G. Hengstler. The network helps show where Jan G. Hengstler may publish in the future.

Co-authorship network of co-authors of Jan G. Hengstler

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

All Works

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20 of 20 papers shown

Begher‐Tibbe, Brigitte, Jörg Reinders, Cristina Cadenas, et al.. (2024). EDI3 knockdown in ER-HER2+ breast cancer cells reduces tumor burden and improves survival in two mouse models of experimental metastasis. Breast Cancer Research. 26(1). 87–87. 1 indexed citations

Kühn, Michael, Reham Hassan, Daniela González, et al.. (2024). Role of albumin in the metabolism and excretion of ochratoxin A. Mycotoxin Research. 40(3). 433–445. 2 indexed citations

Kwon, Y.K., Pascal Gottmann, Revathi Sekar, et al.. (2024). Induction of steatosis in primary human hepatocytes recapitulates key pathophysiological aspects of metabolic dysfunction-associated steatotic liver disease. Journal of Hepatology. 82(1). 18–27. 10 indexed citations

Moreno‐Torres, Marta, et al.. (2023). Metabolomics-based strategy to assess drug hepatotoxicity and uncover the mechanisms of hepatotoxicity involved. Archives of Toxicology. 97(6). 1723–1738. 14 indexed citations

These, Anja, Stefanie Hessel‐Pras, Jan G. Hengstler, et al.. (2023). PBTK modeling of the pyrrolizidine alkaloid retrorsine to predict liver toxicity in mouse and rat. Archives of Toxicology. 97(5). 1319–1333. 4 indexed citations

Hofmann, Ute, et al.. (2020). Hypothyroidism Increases Cholesterol Gallstone Prevalence in Mice by Elevated Hydrophobicity of Primary Bile Acids. Thyroid. 31(6). 973–984. 14 indexed citations

Hengstler, Jan G., et al.. (2018). β-Heregulin impairs EGF induced PLC-γ1 signalling in human breast cancer cells. Cellular Signalling. 52. 23–34. 4 indexed citations

Babler, Anne, Ahmed Ghallab, Eva Miriam Buhl, et al.. (2018). Cellular Clearance and Biological Activity of Calciprotein Particles Depend on Their Maturation State and Crystallinity. Frontiers in Immunology. 9. 1991–1991. 81 indexed citations

Cadenas, Cristina, et al.. (2012). ERBB2 overexpression triggers transient high mechanoactivity of breast tumor cells. Cytoskeleton. 69(5). 267–277. 9 indexed citations

10.

Botling, Johan, Karolina Edlund, Miriam Lohr, et al.. (2012). Biomarker Discovery in Non–Small Cell Lung Cancer: Integrating Gene Expression Profiling, Meta-analysis, and Tissue Microarray Validation. Clinical Cancer Research. 19(1). 194–204. 284 indexed citations

11.

Brase, Jan C., Marcus Schmidt, Thomas Fischbach, et al.. (2010). ERBB2 and TOP2A in Breast Cancer: A Comprehensive Analysis of Gene Amplification, RNA Levels, and Protein Expression and Their Influence on Prognosis and Prediction. Clinical Cancer Research. 16(8). 2391–2401. 108 indexed citations

12.

Cadenas, Cristina, Marcus Schmidt, Mathias Gehrmann, et al.. (2010). Role of thioredoxin reductase 1 and thioredoxin interacting protein in prognosis of breast cancer. Breast Cancer Research. 12(3). R44–R44. 143 indexed citations

13.

Hoehme, Stefan, Marc Brulport, Alexander Bauer, et al.. (2010). Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration. Proceedings of the National Academy of Sciences. 107(23). 10371–10376. 215 indexed citations

14.

Lee, Jae Ho, Stefan Schweyer, Moneef Shoukier, et al.. (2010). Pathways of Proliferation and Antiapoptosis Driven in Breast Cancer Stem Cells by Stem Cell Protein Piwil2. Cancer Research. 70(11). 4569–4579. 96 indexed citations

15.

Bockamp, Ernesto, Stefan Liebner, Steffen Schmitt, et al.. (2009). In vivo fate mapping with SCL regulatory elements identifies progenitors for primitive and definitive hematopoiesis in mice. Mechanisms of Development. 126(10). 863–872. 3 indexed citations

16.

Schmidt, Marcus, Jan G. Hengstler, Christian von Törne, Heinz Koelbl, & Mathias Gehrmann. (2009). Coordinates in the Universe of Node-Negative Breast Cancer Revisited. Cancer Research. 69(7). 2695–2698. 28 indexed citations

17.

Schmidt, Marcus, Dirk Hasenclever, Daniel Boehm, et al.. (2008). Prognostic Effect of Epithelial Cell Adhesion Molecule Overexpression in Untreated Node-Negative Breast Cancer. Clinical Cancer Research. 14(18). 5849–5855. 69 indexed citations

18.

Schmidt, Marcus, Daniel Böhm, Christian von Törne, et al.. (2008). The Humoral Immune System Has a Key Prognostic Impact in Node-Negative Breast Cancer. Cancer Research. 68(13). 5405–5413. 588 indexed citations breakdown →

19.

Herrmann, F, Hans‐Anton Lehr, Ingo Drexler, et al.. (2004). HER-2/neu-Mediated Regulation of Components of the MHC Class I Antigen-Processing Pathway. Cancer Research. 64(1). 215–220. 107 indexed citations

20.

Micke, Patrick, Maryam Basrai, Andreas Faldum, et al.. (2003). Characterization of c-kit expression in small cell lung cancer: prognostic and therapeutic implications.. PubMed. 9(1). 188–94. 124 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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