Sujit Sheth

6.8k total citations
83 papers, 2.1k citations indexed

About

Sujit Sheth is a scholar working on Genetics, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sujit Sheth has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Genetics, 53 papers in Hematology and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sujit Sheth's work include Hemoglobinopathies and Related Disorders (61 papers), Iron Metabolism and Disorders (36 papers) and Blood groups and transfusion (20 papers). Sujit Sheth is often cited by papers focused on Hemoglobinopathies and Related Disorders (61 papers), Iron Metabolism and Disorders (36 papers) and Blood groups and transfusion (20 papers). Sujit Sheth collaborates with scholars based in United States, Italy and Canada. Sujit Sheth's co-authors include Gary M. Brittenham, Steven L. Spitalnik, Richard O. Francis, Eldad A. Hod, Jeanne E. Hendrickson, Bogusław S. Wójczyk, James C. Zimring, Ning Zhang, Susan Whittier and Kevin P. Francis and has published in prestigious journals such as Nature Communications, Blood and Annals of the New York Academy of Sciences.

In The Last Decade

Sujit Sheth

77 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujit Sheth United States 21 949 884 506 412 333 83 2.1k
Georges E. Rivard Canada 29 1.8k 1.9× 394 0.4× 225 0.4× 48 0.1× 705 2.1× 70 2.9k
Joyce Curvers Netherlands 24 1.1k 1.1× 239 0.3× 87 0.2× 374 0.9× 203 0.6× 41 1.9k
A.J. Gerard Jansen Netherlands 23 657 0.7× 138 0.2× 213 0.4× 328 0.8× 148 0.4× 59 1.6k
Pablo Bartolucci France 28 1.4k 1.5× 1.7k 1.9× 613 1.2× 41 0.1× 237 0.7× 168 2.4k
Robert D. Woodson United States 22 360 0.4× 193 0.2× 274 0.5× 299 0.7× 112 0.3× 42 1.3k
Ada Goldfarb Israel 27 1.0k 1.1× 1.2k 1.4× 307 0.6× 32 0.1× 281 0.8× 49 2.0k
Elizabeth A. Manci United States 20 1.3k 1.4× 1.8k 2.0× 411 0.8× 14 0.0× 409 1.2× 52 2.8k
Michael A. Solomon United States 25 142 0.1× 124 0.1× 321 0.6× 143 0.3× 535 1.6× 71 2.0k
Nathan L. Kobrinsky United States 20 1.1k 1.2× 269 0.3× 60 0.1× 60 0.1× 380 1.1× 58 2.0k
C. Winearls United Kingdom 5 748 0.8× 226 0.3× 262 0.5× 133 0.3× 148 0.4× 6 1.6k

Countries citing papers authored by Sujit Sheth

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Sheth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujit Sheth

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

All Works

20 of 20 papers shown
1.
Yu, Fei, Sujit Sheth, Guillaume Freychet, et al.. (2025). Hierarchically ordered porous transition metal compounds from one-pot type 3D printing approaches. Nature Communications. 16(1). 7704–7704.
2.
Musallam, Khaled M., Sujit Sheth, Thomas D. Coates, et al.. (2025). Non‐Transfusion‐Dependent Thalassemia: An Image Gallery Worth a Thousand Words. American Journal of Hematology. 100(4). 687–694.
3.
Snyder, Angela, et al.. (2025). Newborn Screening for Sickle Cell Disease and Thalassemia. JAMA Health Forum. 6(3). e250064–e250064. 5 indexed citations
4.
Forni, Gian Luca, Antonis Kattamis, Kevin H.M. Kuo, et al.. (2024). Iron chelation therapy for children with transfusion‐dependent β‐thalassemia: How young is too young?. Pediatric Blood & Cancer. 71(8). e31035–e31035. 3 indexed citations
5.
Musallam, Khaled M., Sujit Sheth, Maria Domenica Cappellini, et al.. (2024). Anemia and iron overload as prognostic markers of outcomes in β-thalassemia. Expert Review of Hematology. 17(9). 631–642. 3 indexed citations
6.
Badawy, Sherif M., et al.. (2024). Rates of severe neutropenia and infection risk in patients treated with deferiprone: 28 years of data. Blood Advances. 8(21). 5641–5649. 3 indexed citations
7.
Sheth, Sujit, et al.. (2023). When should gene therapy be considered for transfusion-dependent β-thalassemia patients?. Hematology. 2023(1). 121–124.
8.
Musallam, Khaled M., Alì Taher, Antonis Kattamis, et al.. (2023). Profile of Luspatercept in the Treatment of Anemia in Adults with Non-Transfusion-Dependent β-Thalassemia (NTDT): Design, Development and Potential Place in Therapy. Drug Design Development and Therapy. Volume 17. 1583–1591. 5 indexed citations
9.
10.
Cappellini, Maria Domenica, Alì Taher, Vip Viprakasit, et al.. (2023). Efficacy and Safety of Luspatercept in Patients Enrolled in the BELIEVE Trial: Data from the Phase 3b Long-Term Rollover Study. Blood. 142(Supplement 1). 3849–3849. 1 indexed citations
11.
Sheth, Sujit, et al.. (2023). Clinical Classification, Screening, and Diagnosis in Beta-Thalassemia and Hemoglobin E/Beta-Thalassemia. Hematology/Oncology Clinics of North America. 37(2). 313–325. 3 indexed citations
12.
13.
Boscoe, Audra, Elizabeth Hedgeman, Eduard J. van Beers, et al.. (2020). Comorbidities and complications in adults with pyruvate kinase deficiency. European Journal Of Haematology. 106(4). 484–492. 17 indexed citations
14.
Sheth, Sujit, et al.. (2019). Bone Marrow Failure in Children: Approach to Diagnosis and Treatment. The Indian Journal of Pediatrics. 87(2). 141–149. 6 indexed citations
15.
Sheth, Sujit. (2019). Strategies for managing transfusional iron overload: conventional treatments and novel strategies. Current Opinion in Hematology. 26(3). 139–144. 7 indexed citations
16.
Sheth, Sujit, Christopher Allen, David E. Farrell, et al.. (2019). Measurement of the liver iron concentration in transfusional iron overload by MRI R2* and by high-transition-temperature superconducting magnetic susceptometry. Clinical Imaging. 55. 65–70. 8 indexed citations
17.
Grace, Rachael F., D. Mark Layton, Frédéric Galactéros, et al.. (2017). Results Update from the DRIVE PK Study: Effects of AG-348, a Pyruvate Kinase Activator, in Patients with Pyruvate Kinase Deficiency. Blood. 130. 2194–2194. 2 indexed citations
18.
Sheth, Sujit & Monica Bhatia. (2015). Hematopoietic stem cell transplantation in sickle cell disease: patient selection and special considerations. Journal of Blood Medicine. 6. 229–229. 47 indexed citations
19.
Huh, Winston W., Joan Cox Gill, Sujit Sheth, & George R. Buchanan. (2002). Pneumocystis carinii Pneumonia in Patients With Diamond-Blackfan Anemia Receiving High-Dose Corticosteroids. Journal of Pediatric Hematology/Oncology. 24(5). 410–412. 8 indexed citations
20.
Sheth, Sujit, et al.. (1999). Serum transferrin receptor as a marker of erythropoiesis suppression in patients on chronic transfusion. American Journal of Hematology. 60(2). 121–125. 19 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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