Verena Proell

628 total citations
9 papers, 510 citations indexed

About

Verena Proell is a scholar working on Molecular Biology, Hepatology and Oncology. According to data from OpenAlex, Verena Proell has authored 9 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Hepatology and 4 papers in Oncology. Recurrent topics in Verena Proell's work include Liver physiology and pathology (5 papers), TGF-β signaling in diseases (4 papers) and Cancer Mechanisms and Therapy (2 papers). Verena Proell is often cited by papers focused on Liver physiology and pathology (5 papers), TGF-β signaling in diseases (4 papers) and Cancer Mechanisms and Therapy (2 papers). Verena Proell collaborates with scholars based in Austria, Germany and Spain. Verena Proell's co-authors include Wolfgang Mikulits, Mario Mikula, Andreas Fischer, Heidemarie Huber, Hartmut Beug, Josef Gotzmann, Martin Jechlinger, Andreas Weith, Thomas Waerner and Markus Zojer and has published in prestigious journals such as Hepatology, Oncogene and Journal of Bone and Mineral Research.

In The Last Decade

Verena Proell

9 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Verena Proell Austria	9	272	237	145	76	72	9	510
Gaelle del Castillo Spain	11	356 1.3×	259 1.1×	172 1.2×	98 1.3×	45 0.6×	14	611
Jiachu Li China	9	345 1.3×	120 0.5×	123 0.8×	123 1.6×	58 0.8×	12	546
Ji-Hai Yu China	12	276 1.0×	140 0.6×	68 0.5×	143 1.9×	71 1.0×	19	483
Nina Waldburger Germany	13	201 0.7×	149 0.6×	100 0.7×	119 1.6×	38 0.5×	19	456
Iwao Yabuuchi Japan	9	276 1.0×	252 1.1×	251 1.7×	95 1.3×	183 2.5×	17	645
Koki Nagaike Japan	11	207 0.8×	110 0.5×	231 1.6×	69 0.9×	51 0.7×	20	529
Masako Kamiyama Japan	13	243 0.9×	178 0.8×	55 0.4×	165 2.2×	36 0.5×	15	511
Ryouichi Hamasuna Japan	13	243 0.9×	125 0.5×	231 1.6×	100 1.3×	21 0.3×	21	525
Richard Ong Singapore	9	207 0.8×	116 0.5×	94 0.6×	84 1.1×	30 0.4×	20	413
Randi Utne Holt Norway	10	338 1.2×	160 0.7×	95 0.7×	64 0.8×	17 0.2×	13	527

Countries citing papers authored by Verena Proell

Since Specialization

Citations

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

Fields of papers citing papers by Verena Proell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Proell

This figure shows the co-authorship network connecting the top 25 collaborators of Verena Proell. A scholar is included among the top collaborators of Verena Proell 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 Verena Proell. Verena Proell 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

1.

Zwolanek, Daniela, María Satué, Verena Proell, et al.. (2017). Tracking mesenchymal stem cell contributions to regeneration in an immunocompetent cartilage regeneration model. JCI Insight. 2(20). 21 indexed citations

2.

Schneller, Doris, Georg Machat, Verena Proell, et al.. (2011). p19ARF/p14ARF controls oncogenic functions of signal transducer and activator of transcription 3 in hepatocellular carcinoma. Hepatology. 54(1). 164–172. 40 indexed citations

3.

Proell, Verena, Huiqing Xu, Christiane Schüler, et al.. (2009). Orchiectomy upregulates free soluble RANKL in bone marrow of aged rats. Bone. 45(4). 677–681. 35 indexed citations

4.

Schneider, Marlon R., Maik Dahlhoff, Verena Proell, et al.. (2008). High Cortical Bone Mass Phenotype in Betacellulin Transgenic Mice Is EGFR Dependent. Journal of Bone and Mineral Research. 24(3). 455–467. 33 indexed citations

5.

Proell, Verena, et al.. (2007). TGF-β dependent regulation of oxygen radicals during transdifferentiation of activated hepatic stellate cells to myofibroblastoid cells. PubMed. 6(1). 1–1. 57 indexed citations

6.

Gotzmann, Josef, Andreas Fischer, Markus Zojer, et al.. (2006). A crucial function of PDGF in TGF-β-mediated cancer progression of hepatocytes. Oncogene. 25(22). 3170–3185. 171 indexed citations

7.

Mikula, Mario, Verena Proell, Andreas Fischer, & Wolfgang Mikulits. (2006). Activated hepatic stellate cells induce tumor progression of neoplastic hepatocytes in a TGF‐β dependent fashion. Journal of Cellular Physiology. 209(2). 560–567. 86 indexed citations

8.

Proell, Verena, et al.. (2005). The plasticity of p19ARF null hepatic stellate cells and the dynamics of activation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1744(1). 76–87. 25 indexed citations

9.

Herrera, Blanca, Mario Mikula, Verena Proell, et al.. (2005). Integration of Ras subeffector signaling in TGF-β mediated late stage hepatocarcinogenesis. Carcinogenesis. 26(5). 931–942. 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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