Vidya Ranganathan

874 total citations
8 papers, 655 citations indexed

About

Vidya Ranganathan is a scholar working on Immunology, Rheumatology and Hematology. According to data from OpenAlex, Vidya Ranganathan has authored 8 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Rheumatology and 2 papers in Hematology. Recurrent topics in Vidya Ranganathan's work include Immune Cell Function and Interaction (4 papers), Spondyloarthritis Studies and Treatments (3 papers) and T-cell and B-cell Immunology (3 papers). Vidya Ranganathan is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Spondyloarthritis Studies and Treatments (3 papers) and T-cell and B-cell Immunology (3 papers). Vidya Ranganathan collaborates with scholars based in Canada, India and Australia. Vidya Ranganathan's co-authors include Eric Gracey, Robert D. Inman, Nigil Haroon, Matthew A. Brown, Daeria O. Lawson, Yuriy Baglaenko, Yuchen Yao, Ibrahim Almaghlouth, Zhenbo Zhang and Zoya Qaiyum and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Nature Reviews Rheumatology.

In The Last Decade

Vidya Ranganathan

8 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vidya Ranganathan Canada	7	380	364	168	123	60	8	655
J. F. Llena United States	8	126 0.3×	289 0.8×	109 0.6×	102 0.8×	18 0.3×	15	495
Rhonda Geoffrey United States	11	332 0.9×	101 0.3×	65 0.4×	303 2.5×	249 4.2×	14	704
Maria Juárez United Kingdom	10	159 0.4×	238 0.7×	38 0.2×	124 1.0×	28 0.5×	20	506
Anja Ficjan Austria	10	175 0.5×	137 0.4×	76 0.5×	54 0.4×	17 0.3×	12	359
Mattias N. D. Svensson Sweden	16	283 0.7×	108 0.3×	34 0.2×	178 1.4×	27 0.5×	27	545
Z S Alekberova Russia	12	208 0.5×	240 0.7×	39 0.2×	131 1.1×	55 0.9×	69	543
Erika Aurora Martínez-García Mexico	12	132 0.3×	139 0.4×	27 0.2×	75 0.6×	18 0.3×	26	383
Lisa Kaly Israel	10	82 0.2×	121 0.3×	32 0.2×	116 0.9×	21 0.3×	46	402
Pier Paolo Bitti Italy	11	181 0.5×	171 0.5×	122 0.7×	59 0.5×	31 0.5×	22	463
Katarzyna Pawlak‐Buś Poland	9	93 0.2×	144 0.4×	47 0.3×	52 0.4×	23 0.4×	47	308

Countries citing papers authored by Vidya Ranganathan

Since Specialization

Citations

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

Fields of papers citing papers by Vidya Ranganathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidya Ranganathan

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

Ciccia, Francesco, Giuliana Guggino, Ranjeny Thomas, et al.. (2018). Proinflammatory CX3CR1+CD59+Tumor Necrosis Factor–Like Molecule 1A+Interleukin‐23+ Monocytes Are Expanded in Patients With Ankylosing Spondylitis and Modulate Innate Lymphoid Cell 3 Immune Functions. Arthritis & Rheumatology. 70(12). 2003–2013. 40 indexed citations

2.

Das, Arundhoti, et al.. (2017). Effector/memory CD4 T cells making either Th1 or Th2 cytokines commonly co-express T-bet and GATA-3. PLoS ONE. 12(10). e0185932–e0185932. 11 indexed citations

3.

Ranganathan, Vidya, Eric Gracey, Matthew A. Brown, Robert D. Inman, & Nigil Haroon. (2017). Pathogenesis of ankylosing spondylitis — recent advances and future directions. Nature Reviews Rheumatology. 13(6). 359–367. 218 indexed citations

4.

Ranganathan, Vidya, Francesco Ciccia, Fanxing Zeng, et al.. (2017). Macrophage Migration Inhibitory Factor Induces Inflammation and Predicts Spinal Progression in Ankylosing Spondylitis. Arthritis & Rheumatology. 69(9). 1796–1806. 63 indexed citations

5.

Gracey, Eric, Zoya Qaiyum, Ibrahim Almaghlouth, et al.. (2016). IL-7 primes IL-17 in mucosal-associated invariant T (MAIT) cells, which contribute to the Th17-axis in ankylosing spondylitis. Annals of the Rheumatic Diseases. 75(12). 2124–2132. 205 indexed citations

6.

Rane, Sanket, Rituparna Das, Vidya Ranganathan, et al.. (2014). Peripheral residence of naïve CD4 T cells induces MHC class II-dependent alterations in phenotype and function. BMC Biology. 12(1). 106–106. 6 indexed citations

7.

Salam, Nasir, Sanket Rane, Rituparna Das, et al.. (2013). T cell ageing: effects of age on development, survival & function.. PubMed. 138(5). 595–608. 111 indexed citations

8.

Ranganathan, Vidya, et al.. (2012). Spontaneous occurrence of luteoma and uterine adenocarcinoma in the reproductive tract of a rabbit. 36(2). 249–251. 1 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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