Varsha Vakil

693 total citations
8 papers, 550 citations indexed

About

Varsha Vakil is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Varsha Vakil has authored 8 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Immunology. Recurrent topics in Varsha Vakil's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Fibroblast Growth Factor Research (2 papers) and Cell Adhesion Molecules Research (2 papers). Varsha Vakil is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Fibroblast Growth Factor Research (2 papers) and Cell Adhesion Molecules Research (2 papers). Varsha Vakil collaborates with scholars based in United States, Netherlands and Italy. Varsha Vakil's co-authors include Richard H. Gomer, Darrell Pilling, Diane D. Shao, Rahul Suresh, Nehemiah Cox, J. Sjef Verbeek, Olcay Batuman, Karnail Singh, Mamdouh H. Kedees and M. Mahmood Hussain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Varsha Vakil

8 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Varsha Vakil United States	8	182	151	137	78	62	8	550
Nilgun Isik Reed United States	6	145 0.8×	170 1.1×	63 0.5×	65 0.8×	73 1.2×	7	490
Anja Renziehausen Germany	5	125 0.7×	313 2.1×	48 0.4×	84 1.1×	121 2.0×	6	676
Kevin Hyman United States	9	101 0.6×	162 1.1×	40 0.3×	115 1.5×	67 1.1×	20	478
R. Hein Germany	18	69 0.4×	130 0.9×	98 0.7×	69 0.9×	119 1.9×	40	662
Ayako Nishino Japan	14	116 0.6×	175 1.2×	229 1.7×	77 1.0×	62 1.0×	48	647
John R. Wilson‐Kanamori United Kingdom	5	279 1.5×	245 1.6×	152 1.1×	123 1.6×	97 1.6×	7	703
Sandrine Poglio France	14	134 0.7×	193 1.3×	177 1.3×	102 1.3×	187 3.0×	22	789
M. Crowther United Kingdom	10	290 1.6×	176 1.2×	170 1.2×	228 2.9×	127 2.0×	14	768
Leah Cushing United States	10	258 1.4×	570 3.8×	192 1.4×	101 1.3×	52 0.8×	12	909
Taiichiro Miyashita Japan	18	86 0.5×	277 1.8×	299 2.2×	87 1.1×	144 2.3×	50	845

Countries citing papers authored by Varsha Vakil

Since Specialization

Citations

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

Fields of papers citing papers by Varsha Vakil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varsha Vakil

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

Pilling, Darrell, Nehemiah Cox, Varsha Vakil, J. Sjef Verbeek, & Richard H. Gomer. (2015). The Long Pentraxin PTX3 Promotes Fibrocyte Differentiation. PLoS ONE. 10(3). e0119709–e0119709. 38 indexed citations

Pilling, Darrell, Varsha Vakil, Nehemiah Cox, & Richard H. Gomer. (2015). TNF-α–stimulated fibroblasts secrete lumican to promote fibrocyte differentiation. Proceedings of the National Academy of Sciences. 112(38). 11929–11934. 100 indexed citations

Pilling, Darrell, et al.. (2014). Fibroblasts secrete Slit2 to inhibit fibrocyte differentiation and fibrosis. Proceedings of the National Academy of Sciences. 111(51). 18291–18296. 69 indexed citations

Pilling, Darrell, Varsha Vakil, & Richard H. Gomer. (2009). Improved serum-free culture conditions for the differentiation of human and murine fibrocytes. Journal of Immunological Methods. 351(1-2). 62–70. 54 indexed citations

Vakil, Varsha, Marta Piecychna, Jeffrey R. Crawford, et al.. (2009). Gadolinium‐containing magnetic resonance image contrast agent promotes fibrocyte differentiation. Journal of Magnetic Resonance Imaging. 30(6). 1284–1288. 27 indexed citations

Shao, Diane D., Rahul Suresh, Varsha Vakil, Richard H. Gomer, & Darrell Pilling. (2008). Pivotal Advance: Th-1 cytokines inhibit, and Th-2 cytokines promote fibrocyte differentiation. Journal of Leukocyte Biology. 83(6). 1323–1333. 227 indexed citations

Braunstein, Marc, Tayfun Özçelık, Sevgi Baǧışlar, et al.. (2006). Endothelial progenitor cells display clonal restriction in multiple myeloma. BMC Cancer. 6(1). 161–161. 10 indexed citations

Singh, Karnail, et al.. (2002). Differential, Tissue-specific, Transcriptional Regulation of Apolipoprotein B Secretion by Transforming Growth Factor β. Journal of Biological Chemistry. 277(42). 39515–39524. 25 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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