Christina Pachel

469 total citations
9 papers, 381 citations indexed

About

Christina Pachel is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Christina Pachel has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Christina Pachel's work include Cardiac Fibrosis and Remodeling (5 papers), Signaling Pathways in Disease (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Christina Pachel is often cited by papers focused on Cardiac Fibrosis and Remodeling (5 papers), Signaling Pathways in Disease (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Christina Pachel collaborates with scholars based in Germany, United States and United Kingdom. Christina Pachel's co-authors include Stefan Frantz, Ulrich Hofmann, Bernhard Nieswandt, Georg Ertl, Barbara Bayer, Johann Bauersachs, Peter Nordbeck, Daniela Fraccarollo, Matthias Nahrendorf and Tobias Bobinger and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Christina Pachel

9 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christina Pachel Germany	9	190	138	83	57	44	9	381
Yuzhen Wei China	11	128 0.7×	130 0.9×	150 1.8×	34 0.6×	29 0.7×	14	347
Takayuki Kojima Japan	12	70 0.4×	133 1.0×	91 1.1×	27 0.5×	22 0.5×	29	389
Dajun Hu China	8	63 0.3×	79 0.6×	90 1.1×	30 0.5×	18 0.4×	18	327
Swati Agrawal United States	9	42 0.2×	74 0.5×	72 0.9×	63 1.1×	72 1.6×	20	328
Ruoshui Li China	13	157 0.8×	187 1.4×	71 0.9×	62 1.1×	19 0.4×	23	397
Hideki Futamatsu Japan	10	168 0.9×	94 0.7×	187 2.3×	88 1.5×	51 1.2×	11	489
Christian Margeta Austria	10	132 0.7×	133 1.0×	28 0.3×	71 1.2×	11 0.3×	16	352
Lianhua Yan China	8	137 0.7×	131 0.9×	56 0.7×	24 0.4×	52 1.2×	9	332
Fang Pei China	12	58 0.3×	236 1.7×	92 1.1×	40 0.7×	31 0.7×	16	409

Countries citing papers authored by Christina Pachel

Since Specialization

Citations

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

Fields of papers citing papers by Christina Pachel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Pachel

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

Weirather, Johannes, Peter Nordbeck, Paula-Anahi Arias-Loza, et al.. (2016). CD4+ Foxp3+ T-cells contribute to myocardial ischemia-reperfusion injury. Journal of Molecular and Cellular Cardiology. 101. 99–105. 19 indexed citations

Frey, Anna, Sandy Popp, Christina Pachel, et al.. (2016). Early citalopram treatment increases mortality due to left ventricular rupture in mice after myocardial infarction. Journal of Molecular and Cellular Cardiology. 98. 28–36. 9 indexed citations

Pachel, Christina, Paula-Anahi Arias-Loza, Peter Nordbeck, et al.. (2016). Inhibition of Platelet GPVI Protects Against Myocardial Ischemia–Reperfusion Injury. Arteriosclerosis Thrombosis and Vascular Biology. 36(4). 629–635. 61 indexed citations

Kunz, Meik, Ke Xiao, Janika Viereck, et al.. (2014). Bioinformatics of cardiovascular miRNA biology. Journal of Molecular and Cellular Cardiology. 89(Pt A). 3–10. 19 indexed citations

Pachel, Christina, Barbara Bayer, Charlotte Dienesch, et al.. (2013). Exogenous Administration of a Recombinant Variant of TWEAK Impairs Healing after Myocardial Infarction by Aggravation of Inflammation. PLoS ONE. 8(11). e78938–e78938. 10 indexed citations

Pachel, Christina, Ulrich Hofmann, Peter Nordbeck, et al.. (2013). 5-Lipoxygenase facilitates healing after myocardial infarction. Basic Research in Cardiology. 108(4). 367–367. 32 indexed citations

Chopra, Martin, Isabell Lang, Steffen Salzmann, et al.. (2013). Tumor Necrosis Factor Induces Tumor Promoting and Anti-Tumoral Effects on Pancreatic Cancer via TNFR1. PLoS ONE. 8(9). e75737–e75737. 23 indexed citations

Frantz, Stefan, Ulrich Hofmann, Daniela Fraccarollo, et al.. (2012). Monocytes/macrophages prevent healing defects and left ventricular thrombus formation after myocardial infarction. The FASEB Journal. 27(3). 871–881. 151 indexed citations

Bauch, Caroline, Susanne N. Kolle, Eric Fabian, et al.. (2011). Intralaboratory validation of four in vitro assays for the prediction of the skin sensitizing potential of chemicals. Toxicology in Vitro. 25(6). 1162–1168. 57 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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