Monika Pikiolek

1.3k total citations · 1 hit paper
6 papers, 453 citations indexed

About

Monika Pikiolek is a scholar working on Surgery, Hepatology and Molecular Biology. According to data from OpenAlex, Monika Pikiolek has authored 6 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Hepatology and 2 papers in Molecular Biology. Recurrent topics in Monika Pikiolek's work include Liver physiology and pathology (3 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Pancreatic function and diabetes (2 papers). Monika Pikiolek is often cited by papers focused on Liver physiology and pathology (3 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Pancreatic function and diabetes (2 papers). Monika Pikiolek collaborates with scholars based in Switzerland, United States and Italy. Monika Pikiolek's co-authors include Jan S. Tchorz, Heinz Ruffner, Tewis Bouwmeester, Vanessa Orsini, Luigi Terracciano, Markus H. Heim, Claudia Agarinis, Tobias Schmelzle, Giorgia Jurisic and Christian N. Parker and has published in prestigious journals such as Nature Genetics, Hepatology and Cell stem cell.

In The Last Decade

Monika Pikiolek

6 papers receiving 451 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.

Bipotent transitional liver progenitor cells contribute to liver regeneration

2023 74 citations Wenjuan Pu, Huan Zhu et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monika Pikiolek Switzerland	6	218	154	143	134	72	6	453
Vanessa Orsini Switzerland	6	259 1.2×	122 0.8×	100 0.7×	149 1.1×	82 1.1×	9	468
Ingrid Lua United States	11	118 0.5×	133 0.9×	166 1.2×	45 0.3×	76 1.1×	16	415
Н. Л. Лазаревич Russia	10	273 1.3×	112 0.7×	126 0.9×	28 0.2×	110 1.5×	20	455
Xuzhen Yan China	10	129 0.6×	66 0.4×	121 0.8×	39 0.3×	53 0.7×	18	337
Eiko Saijou Japan	7	172 0.8×	47 0.3×	80 0.6×	83 0.6×	41 0.6×	10	376
Scott Swenson United States	7	112 0.5×	198 1.3×	240 1.7×	40 0.3×	63 0.9×	9	405
Ping‐Fang Hu China	13	217 1.0×	48 0.3×	94 0.7×	30 0.2×	65 0.9×	20	410
Patricia Muñoz-Garrido Spain	11	142 0.7×	237 1.5×	106 0.7×	20 0.1×	104 1.4×	14	381
Aoibheann Mullan United Kingdom	6	123 0.6×	43 0.3×	90 0.6×	90 0.7×	23 0.3×	8	307
Karen Mulé United States	6	511 2.3×	392 2.5×	537 3.8×	60 0.4×	87 1.2×	8	898

Countries citing papers authored by Monika Pikiolek

Since Specialization

Citations

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

Fields of papers citing papers by Monika Pikiolek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Pikiolek

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

All Works

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6 of 6 papers shown

1.

Pu, Wenjuan, Huan Zhu, Mingjun Zhang, et al.. (2023). Bipotent transitional liver progenitor cells contribute to liver regeneration. Nature Genetics. 55(4). 651–664. 74 indexed citations breakdown →

2.

Sun, Tianliang, Monika Pikiolek, Vanessa Orsini, et al.. (2019). AXIN2+ Pericentral Hepatocytes Have Limited Contributions to Liver Homeostasis and Regeneration. Cell stem cell. 26(1). 97–107.e6. 113 indexed citations

3.

Mélin, Nicolas, Monika Pikiolek, Judith Knehr, et al.. (2017). Screening of Intestinal Crypt Organoids: A Simple Readout for Complex Biology. SLAS DISCOVERY. 22(5). 571–582. 11 indexed citations

4.

Orsini, Vanessa, Stefan Zurbruegg, Monika Pikiolek, Jan S. Tchorz, & Nicolau Beckmann. (2016). MRI as Primary End Point for Pharmacologic Experiments of Liver Regeneration in a Murine Model of Partial Hepatectomy. Academic Radiology. 23(11). 1446–1453. 5 indexed citations

5.

Stein, Claudia, Tanja Blumer, Yann Abraham, et al.. (2015). YAP promotes proliferation, chemoresistance, and angiogenesis in human cholangiocarcinoma through TEAD transcription factors. Hepatology. 62(5). 1497–1510. 175 indexed citations

6.

Kinzel, Bernd, Monika Pikiolek, Vanessa Orsini, et al.. (2014). Functional roles of Lgr4 and Lgr5 in embryonic gut, kidney and skin development in mice. Developmental Biology. 390(2). 181–190. 75 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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