Maria Chaudhry

2.3k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

Maria Chaudhry is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Maria Chaudhry has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hematology, 12 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Maria Chaudhry's work include Multiple Myeloma Research and Treatments (21 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Protein Degradation and Inhibitors (6 papers). Maria Chaudhry is often cited by papers focused on Multiple Myeloma Research and Treatments (21 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Protein Degradation and Inhibitors (6 papers). Maria Chaudhry collaborates with scholars based in United States, France and Ireland. Maria Chaudhry's co-authors include Hongnan Liu, Jiaxin Yang, Yao Li, Shengnan Wang, Jiaying Yao, Yulong Yin, Chunyan Han, Don M. Benson, Ashley Rosko and Yvonne A. Efebera and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Maria Chaudhry

33 papers receiving 1.6k citations

Hit Papers

Quercetin, Inflammation a... 2016 2026 2019 2022 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Chaudhry United States 9 543 233 177 174 170 38 1.6k
Jiaxin Yang China 10 560 1.0× 236 1.0× 199 1.1× 178 1.0× 157 0.9× 31 1.7k
Chau‐Jong Wang Taiwan 19 513 0.9× 224 1.0× 149 0.8× 143 0.8× 113 0.7× 32 1.2k
Yuan‐Yen Chang Taiwan 29 746 1.4× 219 0.9× 171 1.0× 188 1.1× 150 0.9× 81 2.0k
Supachai Yodkeeree Thailand 27 869 1.6× 246 1.1× 142 0.8× 223 1.3× 125 0.7× 70 2.0k
Jung‐Mi Yun South Korea 24 862 1.6× 209 0.9× 112 0.6× 178 1.0× 150 0.9× 60 1.8k
Yoo‐Hyun Lee South Korea 21 909 1.7× 185 0.8× 151 0.9× 210 1.2× 118 0.7× 72 1.7k
Jeongmin Lee South Korea 22 948 1.7× 243 1.0× 186 1.1× 227 1.3× 142 0.8× 145 2.0k
Mohammed A. Alsahli Saudi Arabia 27 676 1.2× 213 0.9× 250 1.4× 242 1.4× 131 0.8× 67 1.9k
Sherif T. S. Hassan Czechia 27 770 1.4× 222 1.0× 205 1.2× 296 1.7× 259 1.5× 51 2.1k
El‐Shaimaa A. Arafa Egypt 25 789 1.5× 172 0.7× 266 1.5× 275 1.6× 161 0.9× 63 2.1k

Countries citing papers authored by Maria Chaudhry

Since Specialization
Citations

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

Fields of papers citing papers by Maria Chaudhry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Chaudhry

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Chaudhry. A scholar is included among the top collaborators of Maria Chaudhry 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 Maria Chaudhry. Maria Chaudhry 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.
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Cottini, Francesca, Ying Huang, Nita Williams, et al.. (2021). Real World Experience of Daratumumab: Evaluating Lymphopenia and Adverse Events in Multiple Myeloma Patients. Frontiers in Oncology. 10. 575168–575168. 11 indexed citations
4.
Cottini, Francesca, Nidhi Sharma, Abdullah Khan, et al.. (2021). Race as a predictor of outcome in young patients with myeloma.. Journal of Clinical Oncology. 39(15_suppl). e20019–e20019. 2 indexed citations
5.
Vogl, Dan T., Jonathan L. Kaufman, Omar Nadeem, et al.. (2020). TAK-573, an Anti-CD38/Attenuated Ifnα Fusion Protein, Has Clinical Activity and Modulates the Ifnα Receptor (IFNAR) Pathway in Patients with Relapsed/Refractory Multiple Myeloma. Blood. 136(Supplement 1). 37–38. 17 indexed citations
6.
Zhao, Qiuhong, Don M. Benson, Patrick Elder, et al.. (2020). AL Amyloidosis: The Prognostic Impact of Maintenance Therapy Following ASCT. Biology of Blood and Marrow Transplantation. 26(3). S229–S230. 1 indexed citations
7.
Cottini, Francesca, Nita Williams, Naresh Bumma, et al.. (2020). Daratumumab-induced lymphopenia predicts adverse events and outcomes in patients with myeloma.. Journal of Clinical Oncology. 38(15_suppl). e20534–e20534. 1 indexed citations
8.
Efebera, Yvonne A., Naresh Bumma, Abdullah Khan, et al.. (2020). Heavy Lifting: Nomenclature and Novel Therapy for Gamma Heavy Chain Disease and Other Heavy Chain Disorders. Clinical Lymphoma Myeloma & Leukemia. 20(8). 493–498. 1 indexed citations
9.
Zhao, Qiuhong, Don M. Benson, Ashley Rosko, et al.. (2020). Continued Improvement in Survival of Multiple Myeloma Patients: An Institutional Study from 1992-2016. Biology of Blood and Marrow Transplantation. 26(3). S225–S226. 1 indexed citations
10.
Zhao, Qiuhong, Nita Williams, Nidhi Sharma, et al.. (2020). Comparison of Patient Outcomes with Two Different Formulations of Melphalan As Conditioning Chemotherapy for Autologous Stem Cell Transplantation in Multiple Myeloma. Blood. 136(Supplement 1). 1–1. 2 indexed citations
11.
Lucas, Fabienne, Michael L. Pennell, Ying Huang, et al.. (2019). T Cell Transcriptional Profiling and Immunophenotyping Uncover LAG3 as a Potential Significant Target of Immune Modulation in Multiple Myeloma. Biology of Blood and Marrow Transplantation. 26(1). 7–15. 43 indexed citations
12.
Auclair, Daniel, Kenneth C. Anderson, David Avigan, et al.. (2019). The myeloma-developing regimens using genomics (MyDRUG) master protocol.. Journal of Clinical Oncology. 37(15_suppl). TPS8057–TPS8057. 6 indexed citations
13.
Sharma, Nidhi, David Chen, Qiuhong Zhao, et al.. (2019). Lenalidomide and Vorinostat Maintenance after Autologous Transplantation in Multiple Myeloma: Long- Term Follow-Up. Biology of Blood and Marrow Transplantation. 26(1). 44–49. 4 indexed citations
14.
15.
Chaudhry, Maria, Raphaël Steiner, Catherine M. Claussen, et al.. (2017). Carfilzomib-Based Combination Regimens Are Highly Effective Frontline Therapies for Multiple Myeloma and Waldenström's Macroglobulinemia. Blood. 130. 1880–1880. 1 indexed citations
16.
Chaudhry, Maria, Loretta J. Nastoupil, Felipe Samaniego, et al.. (2017). TREATMENT WITH COMBINATION OF LENALIDOMIDE AND RITUXIMAB ACHIEVES DURABLE RESPONSES IN A LONG TERM FOLLOW UP OF PATIENTS WITH INDOLENT NON‐HODGKIN'S LYMPHOMA. Hematological Oncology. 35(S2). 215–216. 1 indexed citations
17.
Chaudhry, Maria & Bruce D. Cheson. (2015). What is the status of novel anti-CD20 antibodies for chronic lymphocytic leukemia and are they set to leave rituximab in the shadows?. Expert Review of Hematology. 8(6). 733–742. 8 indexed citations
18.
Chaudhry, Maria, et al.. (2014). Endovascular Repair of a Right-sided Aortic Arch Aneurysm and Tracheal Injury. Journal of Bronchology & Interventional Pulmonology. 21(1). 65–67. 1 indexed citations
19.
Mahmood, Feroze, et al.. (2013). Mitral Annulus: An Intraoperative Echocardiographic Perspective. Journal of Cardiothoracic and Vascular Anesthesia. 27(6). 1355–1363. 7 indexed citations
20.
Romics, László, et al.. (2011). Initial experiences with isolated limb perfusion for unresectable melanoma of the limb. Irish Journal of Medical Science (1971 -). 180(2). 517–520. 2 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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