Shirley D’Sa

5.2k citations
122 papers · 2.4k indexed · h-index 25

Impact in

  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments
    • Blood groups and transfusion
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 30
    • Blood groups and transfusion 29
    • Chronic Lymphocytic Leukemia Research 50

Shirley D’Sa

111 papers receiving 2.4k citations

Peers

Shirley D’Sa
Comparison fields: 5 of 88
  • Hematology 1.4k
  • Genetics 758
  • Pathology and Forensic Medicine 569
  • Neurology 363
  • Oncology 628
Replace Norifumi Tsukamoto with:
Norifumi Tsukamoto Japan
Kristina Carlson Sweden
Javier de la Serna Spain
Alessandro Corso Italy
Kay Delasalle United States
Pietro Pioltelli Italy
Michael J. Barnett Canada
Parameswaran Venugopal United States
Carlo Bernasconi Italy
Silvia Mangiacavalli Italy
Shirley D’Sa relative to Norifumi Tsukamoto Japan Norifumi Tsukamoto's profile →
Citations per field
00.5×3.4×
Norifumi Tsukamoto · 1×
Citations per year

Countries citing papers authored by Shirley D’Sa

Since Specialization
Citations

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

Fields of papers citing papers by Shirley D’Sa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shirley D’Sa. 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 Shirley D’Sa. The network helps show where Shirley D’Sa may publish in the future.

Co-authors

The 25 scholars most cited alongside Shirley D’Sa, 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 Shirley D’Sa Line = papers co-authored together Shirley D’Sa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20250
4 20243
5 20241
6 20241
7 20241
8 20240
9 20238
10 20239
11 20231
12 20230
13 20224
14 202016
15 20197
16 201919
17 201747
18 201646
19 2012107
20 2011153

About Shirley D’Sa

Shirley D’Sa is a scholar working on Hematology, Genetics, Neurology, Pathology and Forensic Medicine and Immunology, having authored 122 papers that have together received 2.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (50 papers), Multiple Myeloma Research and Treatments (30 papers), Blood groups and transfusion (29 papers), Lymphoma Diagnosis and Treatment (24 papers), Peripheral Neuropathies and Disorders (20 papers), Erythrocyte Function and Pathophysiology (17 papers), Immunodeficiency and Autoimmune Disorders (15 papers) and Cancer Treatment and Pharmacology (10 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (758 citations), Pathology and Forensic Medicine (569 citations), Neurology (363 citations) and Oncology (628 citations). Shirley D’Sa has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Kwee Yong, Michael P. Lunn, Guy Pratt, Eric Low, Roger G. Owen, Jennifer M. Bird, Bernd Jilma, John A. Snowden, Sylvia Feyler and John Ashcroft. Their work appears in journals such as Blood, British Journal of Haematology, HemaSphere, Blood Advances and Haematologica.

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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