Jan D. Baranski

784 total citations
8 papers, 646 citations indexed

About

Jan D. Baranski is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jan D. Baranski has authored 8 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Biomaterials. Recurrent topics in Jan D. Baranski's work include Angiogenesis and VEGF in Cancer (4 papers), 3D Printing in Biomedical Research (4 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Jan D. Baranski is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), 3D Printing in Biomedical Research (4 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Jan D. Baranski collaborates with scholars based in United States and Slovakia. Jan D. Baranski's co-authors include Christopher S. Chen, Jordan S. Miller, Colette J. Shen, Srivatsan Raghavan, Wesley R. Legant, Brandon L. Blakely, Jeroen Eyckmans, Emerson A. Lim, Kelly R. Stevens and Ritika Chaturvedi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Biomaterials.

In The Last Decade

Jan D. Baranski

8 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan D. Baranski United States	6	453	271	220	136	120	8	646
Marina Prewitz Germany	13	269 0.6×	181 0.7×	234 1.1×	154 1.1×	169 1.4×	15	631
Shannon L. Layland Germany	17	417 0.9×	309 1.1×	378 1.7×	97 0.7×	232 1.9×	30	995
Jennifer E. Saik United States	10	538 1.2×	391 1.4×	238 1.1×	196 1.4×	304 2.5×	10	962
Brian A. Aguado United States	11	270 0.6×	168 0.6×	135 0.6×	126 0.9×	182 1.5×	22	804
Marie F.A. Cutiongco Singapore	14	225 0.5×	248 0.9×	128 0.6×	98 0.7×	113 0.9×	22	565
Eric Nguyen United States	9	368 0.8×	109 0.4×	146 0.7×	95 0.7×	166 1.4×	14	560
Karsten Schrobback Australia	14	534 1.2×	334 1.2×	269 1.2×	164 1.2×	128 1.1×	24	1.0k
Peter A. George Australia	8	394 0.9×	168 0.6×	118 0.5×	254 1.9×	112 0.9×	9	678
Ekaterina Kniazeva United States	13	301 0.7×	183 0.7×	239 1.1×	189 1.4×	287 2.4×	15	829
Yongchang Yao China	17	289 0.6×	268 1.0×	197 0.9×	67 0.5×	317 2.6×	39	946

Countries citing papers authored by Jan D. Baranski

Since Specialization

Citations

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

Fields of papers citing papers by Jan D. Baranski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan D. Baranski. 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 Jan D. Baranski. The network helps show where Jan D. Baranski may publish in the future.

Co-authorship network of co-authors of Jan D. Baranski

This figure shows the co-authorship network connecting the top 25 collaborators of Jan D. Baranski. A scholar is included among the top collaborators of Jan D. Baranski 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 Jan D. Baranski. Jan D. Baranski 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.

Chaturvedi, Ritika, Kelly R. Stevens, Robert E. Schwartz, et al.. (2014). Patterning Vascular Networks In Vivo for Tissue Engineering Applications. Tissue Engineering Part C Methods. 21(5). 509–517. 46 indexed citations

2.

Baranski, Jan D., Ritika Chaturvedi, Kelly R. Stevens, et al.. (2013). Geometric control of vascular networks to enhance engineered tissue integration and function. Proceedings of the National Academy of Sciences. 110(19). 7586–7591. 223 indexed citations

3.

Baranski, Jan D.. (2012). Engineering patterns to study vascular biology. ScholarlyCommons (University of Pennsylvania). 1 indexed citations

4.

Shen, Colette J., Srivatsan Raghavan, Zhe Xu, et al.. (2011). Decreased cell adhesion promotes angiogenesis in a Pyk2-dependent manner. Experimental Cell Research. 317(13). 1860–1871. 31 indexed citations

5.

Raghavan, Srivatsan, Celeste M. Nelson, Jan D. Baranski, Emerson A. Lim, & Christopher S. Chen. (2010). Geometrically Controlled Endothelial Tubulogenesis in Micropatterned Gels. Tissue Engineering Part A. 16(7). 2255–2263. 133 indexed citations

6.

Miller, Jordan S., Colette J. Shen, Wesley R. Legant, et al.. (2010). Bioactive hydrogels made from step-growth derived PEG–peptide macromers. Biomaterials. 31(13). 3736–3743. 169 indexed citations

7.

Kambayashi, Taku, Jan D. Baranski, Rebecca G. Baker, et al.. (2007). Indirect involvement of allergen-captured mast cells in antigen presentation. Blood. 111(3). 1489–1496. 41 indexed citations

8.

Baranski, Jan D., et al.. (2006). FAULT-TOLERANT RECONFIGURABLE ETHERNET-BASED IP NETWORK PROXY. International Journal of Computers and Applications. 28(3). 2 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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