Mei La

2.2k total citations
22 papers, 1.6k citations indexed

About

Mei La is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Mei La has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 18 papers in Pediatrics, Perinatology and Child Health and 7 papers in Hematology. Recurrent topics in Mei La's work include Acute Lymphoblastic Leukemia research (22 papers), Childhood Cancer Survivors' Quality of Life (18 papers) and Acute Myeloid Leukemia Research (4 papers). Mei La is often cited by papers focused on Acute Lymphoblastic Leukemia research (22 papers), Childhood Cancer Survivors' Quality of Life (18 papers) and Acute Myeloid Leukemia Research (4 papers). Mei La collaborates with scholars based in United States, Australia and Canada. Mei La's co-authors include Paul S. Gaynon, James B. Nachman, Harland N. Sather, Wendy Stock, Clara D. Bloomfield, Richard A. Larson, Ben L. Sanford, James W. Vardiman, Nyla A. Heerema and Nita L. Seibel and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Mei La

22 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei La United States 16 1.3k 1.1k 542 294 254 22 1.6k
Yousif Matloub United States 18 621 0.5× 446 0.4× 667 1.2× 179 0.6× 78 0.3× 48 1.3k
Jacob Nersting Denmark 19 713 0.5× 491 0.5× 205 0.4× 174 0.6× 127 0.5× 49 1.0k
Birgitte Lausen Denmark 23 790 0.6× 390 0.4× 1000 1.8× 426 1.4× 36 0.1× 84 1.7k
A Feldges Switzerland 13 575 0.4× 432 0.4× 348 0.6× 160 0.5× 45 0.2× 30 1.0k
M V Relling United States 9 605 0.5× 325 0.3× 307 0.6× 176 0.6× 61 0.2× 14 877
Cynthia DeLaat United States 14 361 0.3× 349 0.3× 471 0.9× 199 0.7× 88 0.3× 18 1.1k
Clare Rowntree United Kingdom 18 1.1k 0.8× 708 0.7× 681 1.3× 309 1.1× 153 0.6× 56 1.7k
Archie Bleyer United States 11 400 0.3× 338 0.3× 183 0.3× 231 0.8× 64 0.3× 22 883
D Pei United States 7 530 0.4× 430 0.4× 215 0.4× 113 0.4× 60 0.2× 7 729
Tamás Révész Australia 16 504 0.4× 246 0.2× 350 0.6× 253 0.9× 40 0.2× 47 845

Countries citing papers authored by Mei La

Since Specialization
Citations

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

Fields of papers citing papers by Mei La

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei La

This figure shows the co-authorship network connecting the top 25 collaborators of Mei La. A scholar is included among the top collaborators of Mei La 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 Mei La. Mei La 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.
Chen, Jinbo, Aaron Kershenbaum, Huaqing Zhao, et al.. (2011). Germline genetic variation and treatment response on CCG‐1891. Pediatric Blood & Cancer. 58(5). 695–700. 25 indexed citations
2.
Matloub, Yousif, Bruce Bostrom, Stephen P. Hunger, et al.. (2011). Escalating intravenous methotrexate improves event-free survival in children with standard-risk acute lymphoblastic leukemia: a report from the Children's Oncology Group. Blood. 118(2). 243–251. 94 indexed citations
3.
Freyer, David R., Meenakshi Devidas, Mei La, et al.. (2010). Postrelapse survival in childhood acute lymphoblastic leukemia is independent of initial treatment intensity: a report from the Children's Oncology Group. Blood. 117(11). 3010–3015. 58 indexed citations
5.
Dreyer, ZoAnn E., Patricia A. Dinndorf, Bruce M. Camitta, et al.. (2010). Analysis of the Role of Hematopoietic Stem-Cell Transplantation in Infants With Acute Lymphoblastic Leukemia in First Remission and MLL Gene Rearrangements: A Report From the Children's Oncology Group. Journal of Clinical Oncology. 29(2). 214–222. 60 indexed citations
7.
Nachman, James B., Mei La, Stephen P. Hunger, et al.. (2009). Young Adults With Acute Lymphoblastic Leukemia Have an Excellent Outcome With Chemotherapy Alone and Benefit From Intensive Postinduction Treatment: A Report From the Children's Oncology Group. Journal of Clinical Oncology. 27(31). 5189–5194. 90 indexed citations
10.
Malempati, Suman, Paul S. Gaynon, Harland N. Sather, Mei La, & Linda C. Stork. (2007). Outcome After Relapse Among Children With Standard-Risk Acute Lymphoblastic Leukemia: Children's Oncology Group Study CCG-1952. Journal of Clinical Oncology. 25(36). 5800–5807. 87 indexed citations
11.
Hastings, Caroline A., James A. Whitlock, Mei La, & Nita L. Seibel. (2007). Improved Outcome of Children with Down Syndrome (DS) and High Risk Acute Lymphocytic Leukemia (HR-ALL): A Report of CCG-1961.. Blood. 110(11). 586–586. 5 indexed citations
12.
Seibel, Nita L., Peter G. Steinherz, Harland N. Sather, et al.. (2007). Early postinduction intensification therapy improves survival for children and adolescents with high-risk acute lymphoblastic leukemia: a report from the Children's Oncology Group. Blood. 111(5). 2548–2555. 213 indexed citations
14.
Aplenc, Richard, Jennifer K. Thompson, Peggy Han, et al.. (2005). Methylenetetrahydrofolate Reductase Polymorphisms and Therapy Response in Pediatric Acute Lymphoblastic Leukemia. Cancer Research. 65(6). 2482–2487. 111 indexed citations
15.
Panosyan, Eduard H., Nita L. Seibel, Sagrario Martín‐Aragón, et al.. (2004). Asparaginase Antibody and Asparaginase Activity in Children With Higher-Risk Acute Lymphoblastic Leukemia. Journal of Pediatric Hematology/Oncology. 26(4). 217–226. 188 indexed citations
16.
La, Mei, James A. Whitlock, Harland N. Sather, et al.. (2004). Lymphoblast biology and outcome among children with Down syndrome and ALL treated on CCG-1952. Pediatric Blood & Cancer. 44(1). 21–28. 50 indexed citations
17.
Tolar, Jakub, Bruce Bostrom, Mei La, & Harland N. Sather. (2004). Intravenous 6‐mercaptopurine decreases salvage after relapse in childhood acute lymphoblastic leukemia: A report from the Children's Cancer Group study CCG 1922. Pediatric Blood & Cancer. 45(1). 5–9. 5 indexed citations
18.
Aplenc, Richard, Peggy Han, Eric Rappaport, et al.. (2003). CYP3A genotypes and treatment response in paediatric acute lymphoblastic leukaemia. British Journal of Haematology. 122(2). 240–244. 61 indexed citations
19.
Sather, Harland N., Peter G. Steinherz, Rebecca Sowers, et al.. (2003). Reduced Folate Carrier and Dihydrofolate Reductase Expression in Acute Lymphocytic Leukemia May Predict Outcome: A Children's Cancer Group Study. Journal of Pediatric Hematology/Oncology. 25(9). 688–695. 33 indexed citations
20.
Heerema, Nyla A., Harland N. Sather, Martha G. Sensel, et al.. (2002). Abnormalities of chromosome bands 15q13‐15 in childhood acute lymphoblastic leukemia. Cancer. 94(4). 1102–1110. 16 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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