Christina Benda

1.4k total citations
8 papers, 534 citations indexed

About

Christina Benda is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christina Benda has authored 8 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Christina Benda's work include Pluripotent Stem Cells Research (7 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Christina Benda is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Christina Benda collaborates with scholars based in China, Austria and Sweden. Christina Benda's co-authors include Miguel A. Esteban, Duanqing Pei, Qiang Zhuang, Xichen Bao, Regina Grillari‐Voglauer, Johannes Grillari, Ting Zhou, Yinghua Huang, Ya Zhang and Jenny C. Y. Ho and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Protocols.

In The Last Decade

Christina Benda

8 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christina Benda China	6	462	134	69	62	48	8	534
Jenny C. Y. Ho China	5	491 1.1×	160 1.2×	80 1.2×	61 1.0×	58 1.2×	6	606
Fengming Yue Japan	12	325 0.7×	129 1.0×	59 0.9×	41 0.7×	31 0.6×	33	427
Yinghua Huang China	7	494 1.1×	123 0.9×	65 0.9×	57 0.9×	41 0.9×	7	561
Sierra H. Root United States	11	631 1.4×	98 0.7×	87 1.3×	139 2.2×	56 1.2×	14	783
Manisha Kalsan India	5	345 0.7×	112 0.8×	91 1.3×	33 0.5×	54 1.1×	9	476
Fumiyo Kitaoka Japan	5	396 0.9×	141 1.1×	56 0.8×	63 1.0×	42 0.9×	5	526
Marina V. Pryzhkova United States	11	493 1.1×	99 0.7×	90 1.3×	60 1.0×	60 1.3×	22	661
Jennifer L. Mumaw United States	14	413 0.9×	136 1.0×	58 0.8×	177 2.9×	84 1.8×	18	577
Adeleh Taei Iran	15	562 1.2×	156 1.2×	159 2.3×	47 0.8×	34 0.7×	24	663
Randy Arroyave United States	5	426 0.9×	63 0.5×	48 0.7×	83 1.3×	50 1.0×	6	584

Countries citing papers authored by Christina Benda

Since Specialization

Citations

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

Fields of papers citing papers by Christina Benda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Benda

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

Luo, Zhiwei, Xiaobing Qing, Christina Benda, et al.. (2019). Nuclear-cytoplasmic shuttling of class IIa histone deacetylases regulates somatic cell reprogramming. SHILAP Revista de lepidopterología. 8(1). 21–29. 10 indexed citations

2.

Harreither, Eva, Hanna A. Rydberg, Helene L. Åmand, et al.. (2014). Identification and characterization of a novel cell penetrating peptide derived from human Oct4. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations

3.

Harreither, Eva, Hanna A. Rydberg, Helene L. Åmand, et al.. (2014). Characterization of a novel cell penetrating peptide derived from human Oct4. Cell Regeneration. 3(1). 3:2–3:2. 24 indexed citations

4.

Harreither, Eva, Hanna A. Rydberg, Helene L. Åmand, et al.. (2014). Characterization of a novel cell penetrating peptide derived from human Oct4. New Biotechnology. 31. S6–S6. 2 indexed citations

5.

Bao, Xichen, Xihua Zhu, Baojian Liao, et al.. (2013). MicroRNAs in somatic cell reprogramming. Current Opinion in Cell Biology. 25(2). 208–214. 34 indexed citations

6.

Zhuang, Qiang, Xiaobing Qing, Ying Yue, et al.. (2013). Class IIa Histone Deacetylases and Myocyte Enhancer Factor 2 Proteins Regulate the Mesenchymal-to-Epithelial Transition of Somatic Cell Reprogramming. Journal of Biological Chemistry. 288(17). 12022–12031. 9 indexed citations

7.

Benda, Christina, Ting Zhou, Xianming Wang, et al.. (2012). Urine as a Source of Stem Cells. Advances in biochemical engineering, biotechnology. 129. 19–32. 23 indexed citations

8.

Zhou, Ting, Christina Benda, Yinghua Huang, et al.. (2012). Generation of human induced pluripotent stem cells from urine samples. Nature Protocols. 7(12). 2080–2089. 430 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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