Maren Pein

876 total citations
8 papers, 384 citations indexed

About

Maren Pein is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Maren Pein has authored 8 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Maren Pein's work include Cancer Cells and Metastasis (6 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Maren Pein is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Maren Pein collaborates with scholars based in Germany, United States and Australia. Maren Pein's co-authors include Thórdur Óskarsson, Jasmin Meier, Jacob Insua‐Rodríguez, Hans‐Peter Sinn, Tsunaki Hongu, Saskia Spaich, Andreas Schneeweiß, Marc Sütterlin, Kristin Decker and Angela Riedel and has published in prestigious journals such as Nature Communications, The Journal of Immunology and American Journal of Physiology-Cell Physiology.

In The Last Decade

Maren Pein

7 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maren Pein Germany	6	211	166	121	101	51	8	384
Mirella Georgouli United Kingdom	6	149 0.7×	212 1.3×	131 1.1×	101 1.0×	31 0.6×	12	408
Agnes Csiszar Austria	8	227 1.1×	205 1.2×	108 0.9×	92 0.9×	44 0.9×	12	428
Susanne Schaten Germany	7	247 1.2×	154 0.9×	158 1.3×	142 1.4×	36 0.7×	7	422
S Ferjancic United Kingdom	2	180 0.9×	130 0.8×	171 1.4×	77 0.8×	39 0.8×	2	357
Steffen Dickopf Germany	6	218 1.0×	276 1.7×	63 0.5×	175 1.7×	51 1.0×	9	459
Brunella Costanza Belgium	8	197 0.9×	279 1.7×	67 0.6×	156 1.5×	56 1.1×	9	470
Eman Barhoush Saudi Arabia	6	381 1.8×	124 0.7×	239 2.0×	66 0.7×	57 1.1×	6	536
Katarzyna Said Hilmersson Sweden	11	194 0.9×	152 0.9×	58 0.5×	85 0.8×	52 1.0×	15	339
Yongzhang Luo China	9	180 0.9×	221 1.3×	76 0.6×	69 0.7×	39 0.8×	12	381
Suchitra Natarajan United States	8	130 0.6×	226 1.4×	48 0.4×	126 1.2×	42 0.8×	13	379

Countries citing papers authored by Maren Pein

Since Specialization

Citations

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

Fields of papers citing papers by Maren Pein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maren Pein

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

All Works

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8 of 8 papers shown

1.

Mallya, Sharmila, et al.. (2023). Multiomic and spatial immunophenotyping reveals a prominent Runx3+ resident T cell population in the healthy human breast. The Journal of Immunology. 210(Supplement_1). 63.12–63.12. 1 indexed citations

2.

Hongu, Tsunaki, Maren Pein, Jacob Insua‐Rodríguez, et al.. (2022). Perivascular tenascin C triggers sequential activation of macrophages and endothelial cells to generate a pro-metastatic vascular niche in the lungs. Nature Cancer. 3(4). 486–504. 77 indexed citations

3.

Pein, Maren, Jacob Insua‐Rodríguez, Tsunaki Hongu, et al.. (2020). Metastasis-initiating cells induce and exploit a fibroblast niche to fuel malignant colonization of the lungs. Nature Communications. 11(1). 1494–1494. 128 indexed citations

4.

Ding, Ling‐Wen, Qiao‐Yang Sun, Jarem Edwards, et al.. (2019). LNK suppresses interferon signaling in melanoma. Nature Communications. 10(1). 2230–2230. 20 indexed citations

5.

Insua‐Rodríguez, Jacob, Maren Pein, Tsunaki Hongu, et al.. (2018). Stress signaling in breast cancer cells induces matrix components that promote chemoresistant metastasis. EMBO Molecular Medicine. 10(10). 81 indexed citations

6.

Insua‐Rodríguez, Jacob, Maren Pein, Tsunaki Hongu, et al.. (2018). 28 Stress signalling in breast cancer cells induces matrix components of stem cell niches that promote chemotherapy-resistant metastasis. ESMO Open. 3. A13–A13.

7.

Lenk, Lennart, Maren Pein, Olga Will, et al.. (2017). The hepatic microenvironment essentially determines tumor cell dormancy and metastatic outgrowth of pancreatic ductal adenocarcinoma. OncoImmunology. 7(1). e1368603–e1368603. 35 indexed citations

8.

Pein, Maren & Thórdur Óskarsson. (2015). Microenvironment in metastasis: roadblocks and supportive niches. American Journal of Physiology-Cell Physiology. 309(10). C627–C638. 42 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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