Kathryn A. Grako

1.3k total citations
7 papers, 1.1k citations indexed

About

Kathryn A. Grako is a scholar working on Molecular Biology, Immunology and Allergy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kathryn A. Grako has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and Allergy and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kathryn A. Grako's work include Cell Adhesion Molecules Research (4 papers), Angiogenesis and VEGF in Cancer (2 papers) and Congenital heart defects research (2 papers). Kathryn A. Grako is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Angiogenesis and VEGF in Cancer (2 papers) and Congenital heart defects research (2 papers). Kathryn A. Grako collaborates with scholars based in United States. Kathryn A. Grako's co-authors include William B. Stallcup, Edward Monosov, Uğur Özerdem, Michael A. Burg, Lothar Goretzki, Takahiro Ochiya, Akiko Nishiyama, Diana S. Barritt, Pierre Maechler and Claes B. Wollheim and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Journal of Cell Science.

In The Last Decade

Kathryn A. Grako

7 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kathryn A. Grako United States	6	619	260	167	164	155	7	1.1k
S. Sterrer Germany	8	901 1.5×	148 0.6×	185 1.1×	80 0.5×	74 0.5×	8	1.2k
Volker Nehls Germany	16	954 1.5×	344 1.3×	163 1.0×	161 1.0×	178 1.1×	21	1.7k
Hanna M. Eilken Germany	11	1.2k 2.0×	553 2.1×	177 1.1×	60 0.4×	98 0.6×	13	1.9k
Jacquelyn Joseph‐Silverstein United States	19	1.2k 2.0×	444 1.7×	256 1.5×	140 0.9×	59 0.4×	20	1.8k
József Jászai Germany	19	825 1.3×	167 0.6×	425 2.5×	68 0.4×	78 0.5×	29	1.6k
Laura Denti United Kingdom	11	991 1.6×	240 0.9×	424 2.5×	57 0.3×	102 0.7×	17	1.7k
Andrew Goodearl United States	16	725 1.2×	105 0.4×	276 1.7×	128 0.8×	58 0.4×	26	1.6k
Konstantin Gaengel Sweden	14	844 1.4×	241 0.9×	133 0.8×	73 0.4×	97 0.6×	20	1.3k
Abderrahim Merzak United Kingdom	15	536 0.9×	279 1.1×	88 0.5×	210 1.3×	146 0.9×	22	903
Jarkko Kortesmaa Sweden	18	664 1.1×	375 1.4×	309 1.9×	770 4.7×	62 0.4×	18	1.6k

Countries citing papers authored by Kathryn A. Grako

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn A. Grako

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn A. Grako. 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 Kathryn A. Grako. The network helps show where Kathryn A. Grako may publish in the future.

Co-authorship network of co-authors of Kathryn A. Grako

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

All Works

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7 of 7 papers shown

1.

Lee, Bumsup, Philip D.G. Miles, Leonardo Vargas, et al.. (2003). Inhibition of Mitochondrial Na+-Ca2+ Exchanger Increases Mitochondrial Metabolism and Potentiates Glucose-Stimulated Insulin Secretion in Rat Pancreatic Islets. Diabetes. 52(4). 965–973. 69 indexed citations

2.

Özerdem, Uğur, et al.. (2001). NG2 proteoglycan is expressed exclusively by mural cells during vascular morphogenesis. Developmental Dynamics. 222(2). 218–227. 487 indexed citations

3.

Goretzki, Lothar, Michael A. Burg, Kathryn A. Grako, & William B. Stallcup. (1999). High-affinity Binding of Basic Fibroblast Growth Factor and Platelet-derived Growth Factor-AA to the Core Protein of the NG2 Proteoglycan. Journal of Biological Chemistry. 274(24). 16831–16837. 177 indexed citations

4.

Grako, Kathryn A., Takahiro Ochiya, Diana S. Barritt, Akiko Nishiyama, & William B. Stallcup. (1999). PDGF α-receptor is unresponsive to PDGF-AA in aortic smooth muscle cells from the NG2 knockout mouse. Journal of Cell Science. 112(6). 905–915. 136 indexed citations

5.

Burg, Michael A., Kathryn A. Grako, & William B. Stallcup. (1998). Expression of the NG2 proteoglycan enhances the growth and metastatic properties of melanoma cells. Journal of Cellular Physiology. 177(2). 299–312. 106 indexed citations

6.

Burg, Michael A., Kathryn A. Grako, & William B. Stallcup. (1998). Expression of the NG2 proteoglycan enhances the growth and metastatic properties of melanoma cells. Journal of Cellular Physiology. 177(2). 299–312. 5 indexed citations

7.

Grako, Kathryn A. & William B. Stallcup. (1995). Participation of the NG2 Proteoglycan in Rat Aortic Smooth Muscle Cell Responses to Platelet-Derived Growth Factor. Experimental Cell Research. 221(1). 231–240. 98 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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