Vijay Ramanan

626 total citations
11 papers, 44 citations indexed

About

Vijay Ramanan is a scholar working on Hematology, Genetics and Rheumatology. According to data from OpenAlex, Vijay Ramanan has authored 11 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Genetics and 2 papers in Rheumatology. Recurrent topics in Vijay Ramanan's work include Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Vijay Ramanan is often cited by papers focused on Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Vijay Ramanan collaborates with scholars based in India, United Kingdom and Spain. Vijay Ramanan's co-authors include Vaman Khadilkar, Raja Padidela, Zulf Mughal, Anuradha Khadilkar, Veena Ekbote, Nikhil Shah, Shashikant Apte, Ketan Gondhalekar, Shatakshi Ranade and Sharat Damodar and has published in prestigious journals such as Bone, Haemophilia and Immunotherapy.

In The Last Decade

Vijay Ramanan

8 papers receiving 40 citations

Peers

Vijay Ramanan

HEMAT

GENET

MB

PRM

PFM

I Hassan Pakistan

Laurent Garderet France

T. Karrison United States

Tadbir K. Bariana United Kingdom

M Sopena Spain

Maurizio Cantini Italy

Irene Donnini Italy

Yann Ilboudo Canada

Ruth Galdies Malta

Barbara Forno Italy

I Hassan Pakistan

Vijay Ramanan

28 ×0.9

HEMAT

8 ×0.3

GENET

7 ×1.4

MB

6 ×1.2

PRM

3 ×0.8

PFM

Citations per year, relative to Vijay Ramanan Vijay Ramanan (= 1×) peers I Hassan

Countries citing papers authored by Vijay Ramanan

Since Specialization

Citations

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

Fields of papers citing papers by Vijay Ramanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Ramanan

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

All Works

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11 of 11 papers shown

1.

Ramanan, Vijay, et al.. (2022). Targeted NGS analysis of the canonical genes in 274 Indian patients with suspected myeloproliferative neoplasms: An Indian diagnostic laboratory’s perspective. Indian Journal of Pathology and Oncology. 9(3). 248–252. 1 indexed citations

2.

Palla, Roberta, Carla Valsecchi, Isabella Garagiola, et al.. (2021). Performance of a clinical risk prediction model for inhibitor formation in severe haemophilia A. Haemophilia. 27(4). e441–e449.

3.

Ekbote, Veena, Raja Padidela, Vaman Khadilkar, et al.. (2020). Increased prevalence of fractures in inadequately transfused and chelated Indian children and young adults with beta thalassemia major. Bone. 143. 115649–115649. 8 indexed citations

4.

Shah, Nikhil, Anuradha Khadilkar, Veena Ekbote, et al.. (2020). DXA and pQCT derived parameters in Indian children with beta thalassemia major - A case controlled study. Bone. 143. 115730–115730. 8 indexed citations

5.

Ramanan, Vijay, et al.. (2020). HBB gene mutation spectrum in an Indian cohort of 1530 cases using an in-house targeted next-generation sequencing assay. Journal of Hematopathology. 13(4). 239–248.

6.

Ramanan, Vijay, et al.. (2019). Co-occurrence of CALR and MPL somatic mutations in an Indian patient with a Philadelphia-negative myeloproliferative neoplasm. Journal of Hematopathology. 12(3). 163–168. 1 indexed citations

7.

Ekbote, Veena, Vaman Khadilkar, Vijay Ramanan, et al.. (2019). Use of DXA and pQCT measurements to screen for fracture risk in 3 to 18 year old poorly chelated thalassaemic children. Bone Abstracts. 1 indexed citations

8.

Apte, Shashikant, Vijay Ramanan, M. Joseph John, et al.. (2018). Safety and Efficacy of Intravenous Immunoglobulin (Flebogamma ^® 10% DIF) in Patients with Immune Thrombocytopenic Purpura. Immunotherapy. 11(2). 81–89. 4 indexed citations

9.

Ramanan, Vijay, et al.. (2017). Role of Thalidomide in Treatment of Beta Thalassemia. 3(1). 6 indexed citations

10.

Kovaleva, Lidia, et al.. (2016). Safety and Efficacy of a 10% Intravenous Immunoglobulin Preparation in Patients with Immune Thrombocytopenic Purpura: Results of Two International, Multicenter Studies. Immunotherapy. 8(12). 1371–1381. 9 indexed citations

11.

Ramanan, Vijay, et al.. (2016). The clinical utility of a custom-developed targeted next-generation sequencing assay for detection of mutations associated with Philadelphia-negative chronic myeloproliferative neoplasms: Two case examples with CALR exon 9 mutations. 1(1). 28–28. 6 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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