CW Berard

2.3k total citations
34 papers, 1.7k citations indexed

About

CW Berard is a scholar working on Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, CW Berard has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pathology and Forensic Medicine, 11 papers in Oncology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in CW Berard's work include Lymphoma Diagnosis and Treatment (31 papers), Acute Lymphoblastic Leukemia research (11 papers) and Viral-associated cancers and disorders (10 papers). CW Berard is often cited by papers focused on Lymphoma Diagnosis and Treatment (31 papers), Acute Lymphoblastic Leukemia research (11 papers) and Viral-associated cancers and disorders (10 papers). CW Berard collaborates with scholars based in United States, Lebanon and Canada. CW Berard's co-authors include S B Murphy, Diane L. Fairclough, R E Hutchison, WM Crist, W. Paul Bowman, CH Pui, V T DeVita, Patrick Kung, I T Magrath and RK Dodge and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

CW Berard

34 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
CW Berard United States 22 1.2k 672 438 428 417 34 1.7k
John M. Flexner United States 25 1.1k 0.9× 643 1.0× 235 0.5× 480 1.1× 190 0.5× 45 1.9k
Alexander Claviez Germany 26 836 0.7× 751 1.1× 322 0.7× 441 1.0× 462 1.1× 80 2.1k
Patrizio Mazza Italy 22 1.1k 0.9× 680 1.0× 177 0.4× 516 1.2× 387 0.9× 98 1.8k
Mary Gerrard United Kingdom 22 1.2k 1.0× 718 1.1× 536 1.2× 310 0.7× 647 1.6× 52 1.9k
S Pavlovsky Argentina 21 569 0.5× 585 0.9× 412 0.9× 265 0.6× 236 0.6× 81 1.4k
Wilhelm Woessmann Germany 26 1.2k 1.0× 740 1.1× 446 1.0× 314 0.7× 450 1.1× 65 2.0k
Mark A. Lones United States 26 938 0.8× 652 1.0× 348 0.8× 222 0.5× 346 0.8× 47 1.5k
Ilske Oschlies Germany 26 1.7k 1.4× 916 1.4× 364 0.8× 383 0.9× 554 1.3× 87 2.1k
R S Cox United States 20 1.0k 0.9× 712 1.1× 174 0.4× 567 1.3× 334 0.8× 25 2.1k
DC Linch United Kingdom 19 949 0.8× 720 1.1× 115 0.3× 397 0.9× 256 0.6× 37 1.5k

Countries citing papers authored by CW Berard

Since Specialization
Citations

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

Fields of papers citing papers by CW Berard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of CW Berard

This figure shows the co-authorship network connecting the top 25 collaborators of CW Berard. A scholar is included among the top collaborators of CW Berard 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 CW Berard. CW Berard 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.
Sandlund, John T., CW Berard, John W. Sixbey, et al.. (1999). Large Proportion of Epstein-Barr Virus–Associated Small Noncleaved Cell Lymphomas Among Children With Non-Hodgkin’s Lymphoma at a Single Institution in Moscow, Russia. American Journal of Clinical Oncology. 22(5). 523–523. 6 indexed citations
2.
Sandlund, J T, Thasia Leimig, Raul C. Ribeiro, et al.. (1997). Predominance and characteristics of Burkitt lymphoma among children with non-Hodgkin lymphoma in northeastern Brazil. Leukemia. 11(5). 743–746. 35 indexed citations
3.
Hutchison, R E, J J Shuster, Chelsea L. Dieck, et al.. (1997). Use of an anti-ALK antibody in the characterization of anaplastic large-cell lymphoma of childhood. Annals of Oncology. 8. S37–S42. 38 indexed citations
4.
Bowman, W. Paul, Jonathan J. Shuster, B. Cook, et al.. (1996). Improved survival for children with B-cell acute lymphoblastic leukemia and stage IV small noncleaved-cell lymphoma: a pediatric oncology group study.. Journal of Clinical Oncology. 14(4). 1252–1261. 126 indexed citations
5.
Hutchison, R., CW Berard, J J Shuster, et al.. (1995). B-cell lineage confers a favorable outcome among children and adolescents with large-cell lymphoma: a Pediatric Oncology Group study.. Journal of Clinical Oncology. 13(8). 2023–2032. 32 indexed citations
6.
Sandlund, J T, CH Pui, WM Roberts, et al.. (1994). Clinicopathologic features and treatment outcome of children with large- cell lymphoma and the t(2;5)(p23;q35). Blood. 84(8). 2467–2471. 89 indexed citations
7.
Sandlund, J T, CH Pui, WM Roberts, et al.. (1994). Clinicopathologic features and treatment outcome of children with large- cell lymphoma and the t(2;5)(p23;q35). Blood. 84(8). 2467–2471. 2 indexed citations
8.
Hvizdala, Eva, CW Berard, Thomas R. Callihan, et al.. (1991). Nonlymphoblastic lymphoma in children--histology and stage-related response to therapy: a Pediatric Oncology Group study.. Journal of Clinical Oncology. 9(7). 1189–1195. 26 indexed citations
9.
Murphy, S B, Diane L. Fairclough, R E Hutchison, & CW Berard. (1989). Non-Hodgkin's lymphomas of childhood: an analysis of the histology, staging, and response to treatment of 338 cases at a single institution.. Journal of Clinical Oncology. 7(2). 186–193. 184 indexed citations
10.
Pui, CH, SH Ip, Elizabeth Thompson, et al.. (1989). Increased serum CD8 antigen level in childhood Hodgkin's disease relates to advanced stage and poor treatment outcome. Blood. 73(1). 209–213. 4 indexed citations
11.
Crist, WM, JJ Shuster, J M Falletta, et al.. (1988). Clinical features and outcome in childhood T-cell leukemia-lymphoma according to stage of thymocyte differentiation: a Pediatric Oncology Group Study. Blood. 72(6). 1891–1897. 10 indexed citations
12.
Hvizdala, Eva, CW Berard, Thomas R. Callihan, et al.. (1988). Lymphoblastic lymphoma in children--a randomized trial comparing LSA2-L2 with the A-COP+ therapeutic regimen: a Pediatric Oncology Group Study.. Journal of Clinical Oncology. 6(1). 26–33. 36 indexed citations
13.
Pui, C-H, SH Ip, RK Dodge, et al.. (1987). High serum interleukin-2 receptor levels are related to advanced disease and a poor outcome in childhood non-Hodgkin's lymphoma. Blood. 70(3). 624–628. 1 indexed citations
14.
Pui, CH, SH Ip, Patrick Kung, et al.. (1987). High serum interleukin-2 receptor levels are related to advanced disease and a poor outcome in childhood non-Hodgkin's lymphoma. Blood. 70(3). 624–628. 85 indexed citations
16.
O'Connell, M J, J Anderson, John M. Merrill, et al.. (1982). Comparative trial of two teniposide-based combination chemotherapy regimens for the treatment of advanced malignant lymphomas.. PubMed. 66(12). 2021–5. 3 indexed citations
19.
Osborne, C. Kent, et al.. (1980). Nodular histiocytic lymphoma: an aggressive nodular lymphoma with potential for prolonged disease-free survival. Blood. 56(1). 98–103. 1 indexed citations
20.
Graw, R. G., Ronald A. Yankee, G. Nicholas Rogentine, et al.. (1972). BONE MARROW TRANSPLANTATION FROM HL-A-MATCHED DONORS TO PATIENTS WITH ACUTE LEUKEMIA TOXICITY AND ANTILEUKEMIC EFFECT. Transplantation. 14(1). 79–90. 25 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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