Malgorzata Kisielow

562 total citations
9 papers, 451 citations indexed

About

Malgorzata Kisielow is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Malgorzata Kisielow has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Surgery. Recurrent topics in Malgorzata Kisielow's work include RNA Interference and Gene Delivery (2 papers), interferon and immune responses (1 paper) and Pluripotent Stem Cells Research (1 paper). Malgorzata Kisielow is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), interferon and immune responses (1 paper) and Pluripotent Stem Cells Research (1 paper). Malgorzata Kisielow collaborates with scholars based in Switzerland, Austria and United States. Malgorzata Kisielow's co-authors include Klaus Karjalainen, Jan Kisielow, Amir Faisal, Yoshikuni Nagamine, Michiaki Nagasawa, Sandra Kleiner, Martin Ehrbar, Queralt Vallmajó-Martín, Peter Vogel and Erik Popp and has published in prestigious journals such as Biomaterials, Scientific Reports and Biochemical Journal.

In The Last Decade

Malgorzata Kisielow

9 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Malgorzata Kisielow Switzerland	7	188	177	170	38	31	9	451
Maria Liljefors Sweden	12	224 1.2×	243 1.4×	133 0.8×	30 0.8×	24 0.8×	20	451
Suvendu Das United States	9	288 1.5×	145 0.8×	189 1.1×	28 0.7×	57 1.8×	11	462
Julia Femel Sweden	9	231 1.2×	345 1.9×	220 1.3×	48 1.3×	27 0.9×	13	559
A. Rietz Germany	11	201 1.1×	162 0.9×	179 1.1×	18 0.5×	21 0.7×	14	411
Katka Szilagyi Netherlands	5	143 0.8×	394 2.2×	171 1.0×	29 0.8×	28 0.9×	7	536
Cassandra E. Burnett United States	6	225 1.2×	209 1.2×	130 0.8×	31 0.8×	24 0.8×	9	451
Alessandra Failli Italy	11	205 1.1×	247 1.4×	143 0.8×	37 1.0×	21 0.7×	16	488
Christiane Faltz Germany	9	126 0.7×	259 1.5×	139 0.8×	36 0.9×	59 1.9×	13	462
Jae Hun Shin United States	9	129 0.7×	123 0.7×	151 0.9×	27 0.7×	19 0.6×	14	342
Louise M.E. Janssen Netherlands	5	180 1.0×	144 0.8×	139 0.8×	68 1.8×	24 0.8×	5	412

Countries citing papers authored by Malgorzata Kisielow

Since Specialization

Citations

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

Fields of papers citing papers by Malgorzata Kisielow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malgorzata Kisielow

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

Kisielow, Malgorzata, et al.. (2021). Nuclear RNA purification by flow cytometry to study nuclear processes in plants. STAR Protocols. 2(1). 100320–100320. 3 indexed citations

2.

Vallmajó-Martín, Queralt, et al.. (2019). Expanded skeletal stem and progenitor cells promote and participate in induced bone regeneration at subcritical BMP-2 dose. Biomaterials. 217. 119278–119278. 34 indexed citations

3.

Kisielow, Malgorzata, et al.. (2016). A gonogenic stimulated transition of mouse embryonic stem cells with enhanced control of diverse differentiation pathways. Scientific Reports. 6(1). 25104–25104. 2 indexed citations

4.

Agoro, Rafiou, Jennifer Palomo, Chloé Michaudel, et al.. (2016). IL‐1R1–MyD88 axis elicits papain‐induced lung inflammation. European Journal of Immunology. 46(11). 2531–2541. 24 indexed citations

5.

Xie, Xiao, Jens Möller, Rupert Konradi, et al.. (2011). Automated time-resolved analysis of bacteria–substrate interactions using functionalized microparticles and flow cytometry. Biomaterials. 32(19). 4347–4357. 11 indexed citations

6.

Kisielow, Malgorzata, et al.. (2005). Expression of lymphocyte activation gene 3 (LAG-3) on B cells is induced by T cells. European Journal of Immunology. 35(7). 2081–2088. 219 indexed citations

7.

Vogel, Peter, Herman van der Putten, Erik Popp, et al.. (2003). Improved Resuscitation after Cardiac Arrest in Rats Expressing the Baculovirus Caspase Inhibitor Protein p35 in Central Neurons. Anesthesiology. 99(1). 112–121. 27 indexed citations

8.

Kisielow, Malgorzata, Sandra Kleiner, Michiaki Nagasawa, Amir Faisal, & Yoshikuni Nagamine. (2002). Isoform-specific knockdown and expression of adaptor protein ShcA using small interfering RNA. Biochemical Journal. 363(1). 1–1. 76 indexed citations

9.

Kisielow, Malgorzata, Sandra Kleiner, Michiaki Nagasawa, Amir Faisal, & Yoshikuni Nagamine. (2002). Isoform-specific knockdown and expression of adaptor protein ShcA using small interfering RNA. Biochemical Journal. 363(1). 1–5. 55 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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