Akshay Sharma

6.7k total citations · 1 hit paper
175 papers, 1.7k citations indexed

About

Akshay Sharma is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Akshay Sharma has authored 175 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Hematology, 44 papers in Molecular Biology and 33 papers in Genetics. Recurrent topics in Akshay Sharma's work include Hematopoietic Stem Cell Transplantation (34 papers), Hemoglobinopathies and Related Disorders (29 papers) and Acute Myeloid Leukemia Research (15 papers). Akshay Sharma is often cited by papers focused on Hematopoietic Stem Cell Transplantation (34 papers), Hemoglobinopathies and Related Disorders (29 papers) and Acute Myeloid Leukemia Research (15 papers). Akshay Sharma collaborates with scholars based in United States, India and Italy. Akshay Sharma's co-authors include Arun Kumar Trivedi, Gatha Thacker, Edmund K. Waller, Cynthia R. Giver, Reba Kanungo, Bronwen E. Shaw, S Jagdish, Dinker Pai, Brandon M. Triplett and Neel S. Bhatt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Akshay Sharma

155 papers receiving 1.6k citations

Hit Papers

Clinical characteristics and outcomes of COVID-19 in haem... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akshay Sharma United States 19 437 367 336 288 232 175 1.7k
Luis Rodríguez‐Rodríguez Spain 24 458 1.0× 205 0.6× 258 0.8× 133 0.5× 215 0.9× 139 2.3k
María José Santos Portugal 25 639 1.5× 397 1.1× 182 0.5× 108 0.4× 277 1.2× 164 2.6k
Andrea Ferreira‐Gonzalez United States 26 835 1.9× 239 0.7× 273 0.8× 164 0.6× 228 1.0× 87 2.3k
Shuji Tohda Japan 22 914 2.1× 516 1.4× 311 0.9× 143 0.5× 95 0.4× 156 1.9k
Fabrício Freire de Melo Brazil 22 241 0.6× 152 0.4× 188 0.6× 247 0.9× 592 2.6× 92 1.6k
Ling Zhang United States 18 403 0.9× 383 1.0× 301 0.9× 673 2.3× 46 0.2× 113 1.8k
Nidhi Sharma United States 24 945 2.2× 184 0.5× 461 1.4× 114 0.4× 166 0.7× 135 1.9k
Félix Couture Canada 26 491 1.1× 648 1.8× 1.1k 3.4× 89 0.3× 129 0.6× 84 2.3k
Stefan Serke Germany 27 557 1.3× 981 2.7× 547 1.6× 216 0.8× 417 1.8× 80 2.7k
Hany Ariffin Malaysia 25 871 2.0× 345 0.9× 512 1.5× 77 0.3× 94 0.4× 111 2.4k

Countries citing papers authored by Akshay Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Sharma. A scholar is included among the top collaborators of Akshay Sharma 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 Akshay Sharma. Akshay Sharma 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
2.
Sharma, Akshay, Brandon M. Triplett, Liying Chi, et al.. (2024). Donor-derived anti-HLA antibodies in a haploidentical hematopoietic cell transplant recipient shortly after transplant. Human Immunology. 85(4). 110829–110829. 1 indexed citations
3.
Leonard, Alexis, Akshay Sharma, Yogindra Persaud, et al.. (2024). Motixafortide for Hematopoietic Stem and Progenitor Cell Mobilization and Collection in Sickle Cell Disease. Blood. 144(Supplement 1). 2100.1–2100.1. 2 indexed citations
5.
Lindemans, Caroline A., Senthil Velan Bhoopalan, Susan E. Prockop, et al.. (2023). Early immune reconstitution as predictor for outcomes after allogeneic hematopoietic cell transplant; a tri-institutional analysis. Cytotherapy. 25(9). 977–985. 17 indexed citations
6.
Taylor, Mallory, Steve W. Cole, Ruta Brazauskas, et al.. (2023). Unfavorable transcriptome profiles and social disadvantage in hematopoietic cell transplantation: a CIBMTR analysis. Blood Advances. 7(22). 6830–6838. 5 indexed citations
7.
Zhou, Yiwang, Jesse Smith, Cai Li, et al.. (2023). Longitudinal clinical data improve survival prediction after hematopoietic cell transplantation using machine learning. Blood Advances. 8(3). 686–698. 2 indexed citations
8.
Sharma, Akshay, Amanda Young, Yimei Li, et al.. (2023). Gene therapy in sickle cell disease: Attitudes and informational needs of patients and caregivers. Pediatric Blood & Cancer. 70(6). e30319–e30319. 11 indexed citations
10.
Fraint, Ellen, Hisham Abdel‐Azim, Neel S. Bhatt, et al.. (2023). Evaluation of Children with Malignancies for Blood and Marrow Transplantation: A Report from the ASTCT Committee on Practice Guidelines. Transplantation and Cellular Therapy. 29(5). 293–301. 4 indexed citations
11.
Persaud, Yogindra, Belinda N. Mandrell, Akshay Sharma, et al.. (2023). Attitudes toward COVID‐19 vaccine among pediatric patients with sickle cell disease and their caregivers. Pediatric Blood & Cancer. 70(5). e30274–e30274. 6 indexed citations
12.
Pfeiffer, Thomas, Ying Li, Seth E. Karol, et al.. (2022). Venetoclax-Based Combination Therapy As a Bridge to Allogeneic Hematopoietic Stem Cell Transplant in Children with Relapsed/Refractory AML. Transplantation and Cellular Therapy. 28(3). S120–S121. 2 indexed citations
13.
Tanwar, Jyoti, et al.. (2022). MITF is a novel transcriptional regulator of the calcium sensor STIM1: Significance in physiological melanogenesis. Journal of Biological Chemistry. 298(12). 102681–102681. 11 indexed citations
14.
Morin, Cara E., Morgan P. McBee, Lama Elbahlawan, et al.. (2022). Early pulmonary complications related to cancer treatment in children. Pediatric Radiology. 52(10). 2017–2028. 2 indexed citations
15.
Sharma, Akshay, Alexis Leonard, Kamille A. West, et al.. (2022). Optimizing haematopoietic stem and progenitor cell apheresis collection from plerixafor‐mobilized patients with sickle cell disease. British Journal of Haematology. 198(4). 740–744. 13 indexed citations
16.
Sharma, Akshay, Ying Li, Sujuan Huang, et al.. (2021). Outcomes of pediatric patients who relapse after first HCT for acute leukemia or MDS. Bone Marrow Transplantation. 56(8). 1866–1875. 8 indexed citations
18.
Sharma, Akshay, et al.. (2020). Gene therapy for haemophilia. Cochrane Database of Systematic Reviews. 2020(4). 5 indexed citations
19.
Sisk, Bryan A., Kristin Canavera, Akshay Sharma, Justin N. Baker, & Liza‐Marie Johnson. (2019). Ethical issues in the care of adolescent and young adult oncology patients. Pediatric Blood & Cancer. 66(5). e27608–e27608. 26 indexed citations
20.
Sarin, Yogesh Kumar, et al.. (2012). Duodenal Webs: An Experience With 18 Patients. SHILAP Revista de lepidopterología. 20 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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