Jui M. Dave

1.1k total citations
19 papers, 731 citations indexed

About

Jui M. Dave is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Jui M. Dave has authored 19 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Cell Biology. Recurrent topics in Jui M. Dave's work include Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Jui M. Dave is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Jui M. Dave collaborates with scholars based in United States, Brazil and Germany. Jui M. Dave's co-authors include Kayla J. Bayless, Daniel M. Greif, Kathleen A. Martin, Raja Chakraborty, Payel Chatterjee, Allison C. Ostriker, Steve A. Maxwell, Rachana R. Chandran, Hojin Kang and Eva M. Rzucidlo and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Jui M. Dave

17 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jui M. Dave United States	13	414	130	130	121	99	19	731
Nathaniel G. dela Paz United States	11	364 0.9×	112 0.9×	148 1.1×	95 0.8×	101 1.0×	12	767
Alfred C. Aplin United States	19	568 1.4×	101 0.8×	90 0.7×	138 1.1×	178 1.8×	31	953
Christian A. Di Buduo Italy	21	409 1.0×	142 1.1×	96 0.7×	37 0.3×	149 1.5×	53	1.3k
Eric Fogel United States	12	397 1.0×	62 0.5×	64 0.5×	114 0.9×	82 0.8×	16	556
Cheng‐Nan Chen Taiwan	9	262 0.6×	83 0.6×	80 0.6×	76 0.6×	121 1.2×	12	656
Yi-Ting Yeh United States	8	352 0.9×	60 0.5×	365 2.8×	96 0.8×	95 1.0×	9	778
Yoshito Yamashiro Japan	16	257 0.6×	174 1.3×	172 1.3×	78 0.6×	49 0.5×	22	667
Ding-Yu Lee Taiwan	12	422 1.0×	43 0.3×	120 0.9×	163 1.3×	88 0.9×	17	689
Yunliang Chen United Kingdom	12	434 1.0×	65 0.5×	59 0.5×	52 0.4×	72 0.7×	19	676
Li-Jing Chen Taiwan	11	374 0.9×	87 0.7×	97 0.7×	101 0.8×	173 1.7×	15	769

Countries citing papers authored by Jui M. Dave

Since Specialization

Citations

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

Fields of papers citing papers by Jui M. Dave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui M. Dave. 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 Jui M. Dave. The network helps show where Jui M. Dave may publish in the future.

Co-authorship network of co-authors of Jui M. Dave

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

All Works

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19 of 19 papers shown

Dave, Jui M., Nandhini Sadagopan, Inamul Kabir, et al.. (2026). Sphingosine kinase 1 is integral for elastin deficiency-induced arterial hypermuscularization. Nature Cardiovascular Research. 5(1). 34–50.

Dave, Jui M., Aglaia Ntokou, Junichi Saito, et al.. (2024). Loss of TGFβ-Mediated Repression of Angiopoietin-2 in Pericytes Underlies Germinal Matrix Hemorrhage Pathogenesis. Stroke. 55(9). 2340–2352. 5 indexed citations

Bierman, Rob, Jui M. Dave, Daniel M. Greif, & Julia Salzman. (2024). Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation. eLife. 12. 3 indexed citations

Bierman, Rob, Jui M. Dave, Daniel M. Greif, & Julia Salzman. (2023). Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation. eLife. 12.

Kabir, Inamul, Xinbo Zhang, Jui M. Dave, et al.. (2023). The age of bone marrow dictates the clonality of smooth muscle-derived cells in atherosclerotic plaques. Nature Aging. 3(1). 64–81. 19 indexed citations

Saito, Junichi, Jui M. Dave, Freddy Duarte Lau, & Daniel M. Greif. (2023). Presenilin-1 in smooth muscle cells facilitates hypermuscularization in elastin aortopathy. iScience. 27(1). 108636–108636. 2 indexed citations

Gallardo‐Vara, Eunate, et al.. (2022). Vascular pathobiology of pulmonary hypertension. The Journal of Heart and Lung Transplantation. 42(5). 544–552. 31 indexed citations

Chakraborty, Raja, Allison C. Ostriker, Yi Xie, et al.. (2022). Histone Acetyltransferases p300 and CBP Coordinate Distinct Chromatin Remodeling Programs in Vascular Smooth Muscle Plasticity. Circulation. 145(23). 1720–1737. 60 indexed citations

Ntokou, Aglaia, Jui M. Dave, Amy C. Kauffman, et al.. (2021). Macrophage-derived PDGF-B induces muscularization in murine and human pulmonary hypertension. JCI Insight. 6(6). 52 indexed citations

10.

Chakraborty, Raja, Payel Chatterjee, Jui M. Dave, et al.. (2021). Targeting smooth muscle cell phenotypic switching in vascular disease. SHILAP Revista de lepidopterología. 2. 79–94. 105 indexed citations

11.

Duran, Camille L., David W. Howell, Jui M. Dave, et al.. (2018). Molecular Regulation of Sprouting Angiogenesis. Comprehensive physiology. 8(1). 153–235. 1 indexed citations

12.

Dave, Jui M., Teodelinda Mirabella, Scott D. Weatherbee, & Daniel M. Greif. (2018). Pericyte ALK5/TIMP3 Axis Contributes to Endothelial Morphogenesis in the Developing Brain. Developmental Cell. 44(6). 665–678.e6. 40 indexed citations

13.

Duran, Camille L., David W. Howell, Jui M. Dave, et al.. (2017). Molecular Regulation of Sprouting Angiogenesis. Comprehensive physiology. 8(1). 153–235. 56 indexed citations

14.

Qiu, Chenxi, Jui M. Dave, Ping Cui, et al.. (2016). High-Resolution Phenotypic Landscape of the RNA Polymerase II Trigger Loop. PLoS Genetics. 12(11). e1006321–e1006321. 27 indexed citations

15.

Dave, Jui M., et al.. (2016). Vascular Cells in Blood Vessel Wall Development and Disease. Advances in pharmacology. 78. 323–350. 86 indexed citations

16.

Dave, Jui M., Colette A. Abbey, Camille L. Duran, et al.. (2016). Hic-5 mediates endothelial sprout initiation by regulating a key surface metalloproteinase. Journal of Cell Science. 129(4). 743–56. 18 indexed citations

17.

Dave, Jui M. & Kayla J. Bayless. (2014). Vimentin as an Integral Regulator of Cell Adhesion and Endothelial Sprouting. Microcirculation. 21(4). 333–344. 128 indexed citations

18.

Dave, Jui M., Hojin Kang, Colette A. Abbey, Steve A. Maxwell, & Kayla J. Bayless. (2013). Proteomic Profiling of Endothelial Invasion Revealed Receptor for Activated C Kinase 1 (RACK1) Complexed with Vimentin to Regulate Focal Adhesion Kinase (FAK). Journal of Biological Chemistry. 288(42). 30720–30733. 32 indexed citations

19.

Kwak, Hyeongil, Hojin Kang, Jui M. Dave, et al.. (2012). Calpain-mediated vimentin cleavage occurs upstream of MT1-MMP membrane translocation to facilitate endothelial sprout initiation. Angiogenesis. 15(2). 287–303. 66 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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