Leland Metheny

1.6k total citations
78 papers, 442 citations indexed

About

Leland Metheny is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Leland Metheny has authored 78 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Hematology, 31 papers in Oncology and 21 papers in Genetics. Recurrent topics in Leland Metheny's work include Hematopoietic Stem Cell Transplantation (30 papers), Multiple Myeloma Research and Treatments (17 papers) and Acute Myeloid Leukemia Research (13 papers). Leland Metheny is often cited by papers focused on Hematopoietic Stem Cell Transplantation (30 papers), Multiple Myeloma Research and Treatments (17 papers) and Acute Myeloid Leukemia Research (13 papers). Leland Metheny collaborates with scholars based in United States, Israel and China. Leland Metheny's co-authors include Marcos de Lima, Paolo F. Caimi, Ehsan Malek, Brenda Cooper, Benjamin Tomlinson, Hillard M. Lazarus, Folashade Otegbeye, Jiasheng Wang, Saada Eid and Molly Gallogly and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Leland Metheny

71 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leland Metheny United States 13 228 170 120 107 92 78 442
Chiara Nozzoli Italy 14 369 1.6× 200 1.2× 185 1.5× 75 0.7× 73 0.8× 40 528
Tommaso Stefanelli Italy 7 259 1.1× 93 0.5× 63 0.5× 97 0.9× 161 1.8× 24 490
G. А. Novichkova Russia 11 238 1.0× 87 0.5× 79 0.7× 89 0.8× 49 0.5× 147 457
Shay Shemesh United States 10 164 0.7× 166 1.0× 72 0.6× 108 1.0× 81 0.9× 24 578
Laura D. Healy United States 12 217 1.0× 57 0.3× 123 1.0× 95 0.9× 132 1.4× 15 442
Dominik Turkiewicz Poland 14 283 1.2× 233 1.4× 91 0.8× 52 0.5× 153 1.7× 38 575
Shasha Zhao China 14 130 0.6× 107 0.6× 180 1.5× 125 1.2× 124 1.3× 46 611
Marion Eveillard France 11 257 1.1× 143 0.8× 178 1.5× 78 0.7× 69 0.8× 61 451
Scott Melvin United States 6 165 0.7× 154 0.9× 84 0.7× 76 0.7× 80 0.9× 9 451
Horia Bumbea Romania 12 229 1.0× 67 0.4× 79 0.7× 144 1.3× 100 1.1× 70 462

Countries citing papers authored by Leland Metheny

Since Specialization
Citations

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

Fields of papers citing papers by Leland Metheny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leland Metheny

This figure shows the co-authorship network connecting the top 25 collaborators of Leland Metheny. A scholar is included among the top collaborators of Leland Metheny 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 Leland Metheny. Leland Metheny 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.
Metheny, Leland, et al.. (2024). Impact of Timing of Acute Graft-Versus-Host-Disease on Incidence of Thrombotic Microangiopathy after Hematopoietic Stem Cell Transplantation. Blood. 144(Supplement 1). 1241–1241. 1 indexed citations
2.
Malek, Ehsan, Priyanka S. Rana, Muthulekha Swamydas, et al.. (2024). The TGFβ type I receptor kinase inhibitor vactosertib in combination with pomalidomide in relapsed/refractory multiple myeloma: a phase 1b trial. Nature Communications. 15(1). 7388–7388. 12 indexed citations
3.
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Malek, Ehsan, Leland Metheny, Pingfu Fu, et al.. (2024). Impact of Visceral Obesity on Clinical Outcome and Quality of Life for Patients with Multiple Myeloma: A Secondary Data Analysis of STaMINA (BMT CTN 0702) Trial. Transplantation and Cellular Therapy. 30(7). 698.e1–698.e10. 1 indexed citations
6.
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Wang, Jiasheng, Amin Firoozmand, Pingfu Fu, et al.. (2023). Phase I study of intra-osseous co-transplantation of a single-unit cord blood and mesenchymal stromal cells with reduced intensity conditioning regimens. Frontiers in Oncology. 13. 1186532–1186532. 2 indexed citations
8.
Leo, Patrick, et al.. (2023). Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning. Computer Methods and Programs in Biomedicine. 243. 107852–107852. 8 indexed citations
9.
McGuirk, Joseph P., Leland Metheny, Luis Piñeiro, et al.. (2023). Placental expanded mesenchymal-like cells (PLX-R18) for poor graft function after hematopoietic cell transplantation: A phase I study. Bone Marrow Transplantation. 58(11). 1189–1196. 2 indexed citations
10.
Abou‐Ismail, Mouhamed Yazan, Raphael Fraser, Leland Metheny, et al.. (2022). Does recipient body mass index inform donor selection for allogeneic haematopoietic cell transplantation?. British Journal of Haematology. 197(3). 326–338. 1 indexed citations
11.
Leo, Patrick, Vidya Sankar Viswanathan, Andrew Janowczyk, et al.. (2022). Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation. JCO Clinical Cancer Informatics. 6(6). e2100156–e2100156. 13 indexed citations
12.
Jurdi, Najla El, Nora L. Nock, Pingfu Fu, et al.. (2021). Physical Activity and Sleep Measures Using a Fitness Tracking Device during Hematopoietic Cell Transplantation: A Pilot Study. Transplantation and Cellular Therapy. 27(6). 502.e1–502.e6. 5 indexed citations
13.
Ahmed, Nausheen, Patricio Rojas, Fahrettin Covut, et al.. (2021). Significant costs and low utilization of stored peripheral blood stem cells for salvage autologous transplant in multiple myeloma patients including those meeting mSMART criteria. Bone Marrow Transplantation. 56(6). 1458–1461. 2 indexed citations
14.
Metheny, Leland, Ronald Sobecks, Navneet S. Majhail, et al.. (2020). Inotuzumab Ozogamicin Post-Transplant for Acute Lymphoblastic Leukemia. Biology of Blood and Marrow Transplantation. 26(3). S122–S123. 1 indexed citations
15.
Cao, Shufen, Suchitra Sundaram, Sabarish Ayyappan, et al.. (2020). Aggressive lymphoma subtype is a risk factor for venous thrombosis. Development of lymphoma ‐ specific venous thrombosis prediction models. American Journal of Hematology. 95(8). 918–926. 12 indexed citations
16.
17.
Lima, Marcos de, et al.. (2019). Posttransplant maintenance therapy for acute leukemias. Current Opinion in Hematology. 26(2). 96–111. 2 indexed citations
18.
Metheny, Leland, Saada Eid, Racheli Ofir, et al.. (2018). Posttransplant Intramuscular Injection of PLX-R18 Mesenchymal-Like Adherent Stromal Cells Improves Human Hematopoietic Engraftment in A Murine Transplant Model. Frontiers in Medicine. 5. 37–37. 7 indexed citations
19.
Sundaram, Suchitra, Benjamin Tomlinson, Richard J. Creger, et al.. (2017). Early Cardiovascular Toxicity with Treatment of Follicular Lymphoma Is Associated with Shorter Overall Survival. Blood. 130. 2776–2776. 2 indexed citations
20.
Metheny, Leland, et al.. (2009). Multiple Myeloma Presenting as Mandibular Ill-Defined Radiolucent Lesion With Numb Chin Syndrome: A Case Report. Journal of Oral and Maxillofacial Surgery. 67(9). 1991–1996. 22 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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