Nisha Vasavda

803 citations
19 papers · 575 · h-index 13

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 14
    • Genetic Associations and Epidemiology 1
    • Iron Metabolism and Disorders 12
    • Blood groups and transfusion 5

Nisha Vasavda

18 papers receiving 564 citations

Peers

Nisha Vasavda
Comparison fields: 5 of 79
  • Genetics 319
  • Hematology 290
  • Pediatrics, Perinatology and Child Health 102
  • Genetics 120
  • Nutrition and Dietetics 49
Replace Majid Yavarian with:
Majid Yavarian Iran
Pavlos Fanis Cyprus
H H Kazazian United States
S Rapa Italy
B Ibarra Mexico
Shi‐Ping Cai United States
Vivien Sheehan United States
A. Eigel Germany
U. Sancken Germany
S Murru Italy
Nisha Vasavda relative to Majid Yavarian Iran Majid Yavarian's profile →
Citations per field
00.5×1.5×2.1×
Majid Yavarian · 1×
Citations per year

Countries citing papers authored by Nisha Vasavda

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Vasavda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nisha Vasavda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nisha Vasavda Line = papers co-authored together Nisha Vasavda links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004174
2 201079
3 200758
4 201151
5 200837
6 200937
7 201223
8 201220
9 201418
10 200816
11 200616
12 201512
13 200712
14 20108
15 20087
16
BLOOD TRANSFUSION USAGE AMONG PATIENTS WITH SICKLE CELL DISEASE - A SINGLE INSTITUTION EXPERIENCE OVER TEN YEARS
20104
17
Mass spectrometric quantification of hepcidin in urine and serum
20072
18
Quantification of hepcidin
20081
19 20110

About Nisha Vasavda

Nisha Vasavda is a scholar working on Genetics, Hematology, Pediatrics, Perinatology and Child Health, Molecular Biology and Rheumatology, having authored 19 papers that have together received 575 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (14 papers), Iron Metabolism and Disorders (12 papers), Blood groups and transfusion (5 papers), Prenatal Screening and Diagnostics (3 papers), Trace Elements in Health (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Genetics (319 citations), Hematology (290 citations), Pediatrics, Perinatology and Child Health (102 citations), Genetics (120 citations) and Nutrition and Dietetics (49 citations). Nisha Vasavda has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Swee Lay Thein, Emma Drašar, Moji Awogbade, Stephan Menzel, Eleftheria Zeggini, Sukhvinder S. Bansal, Anne Hinks, Tracy Mills, Marlene Allman and Wei‐Wen Chen. Their work appears in journals such as British Journal of Haematology, American Journal of Hematology, PLoS ONE, Blood and The American Journal of Human Genetics.

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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