DJ Pullen

5.7k total citations · 1 hit paper
75 papers, 4.0k citations indexed

About

DJ Pullen is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, DJ Pullen has authored 75 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Public Health, Environmental and Occupational Health, 50 papers in Hematology and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in DJ Pullen's work include Acute Lymphoblastic Leukemia research (67 papers), Acute Myeloid Leukemia Research (38 papers) and Chronic Myeloid Leukemia Treatments (19 papers). DJ Pullen is often cited by papers focused on Acute Lymphoblastic Leukemia research (67 papers), Acute Myeloid Leukemia Research (38 papers) and Chronic Myeloid Leukemia Treatments (19 papers). DJ Pullen collaborates with scholars based in United States, Canada and Spain. DJ Pullen's co-authors include Bruce M. Camitta, Michael J. Borowitz, JJ Shuster, Jonathan J. Shuster, Andrew J. Carroll, WM Crist, AJ Carroll, MJ Borowitz, Stephen P. Hunger and Meenakshi Devidas and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

DJ Pullen

75 papers receiving 3.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia and its relationship to other prognostic factors: a Children's Oncology Group study

2008 542 citations Michael J. Borowitz, Meenakshi Devidas et al. Blood profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
DJ Pullen	3.2k	2.6k	1.2k	726	522	75	4.0k
FG Behm	2.2k 0.7×	2.1k 0.8×	544 0.4×	922 1.3×	494 0.9×	65	3.4k
Arend von Stackelberg	2.2k 0.7×	1.9k 0.7×	958 0.8×	583 0.8×	277 0.5×	92	3.3k
Martha G. Sensel	1.7k 0.5×	1.3k 0.5×	787 0.6×	603 0.8×	262 0.5×	42	2.8k
Cornelia Eckert	1.8k 0.6×	1.5k 0.6×	635 0.5×	716 1.0×	330 0.6×	84	2.9k
Richard Ratei	1.7k 0.5×	1.5k 0.6×	617 0.5×	697 1.0×	361 0.7×	60	2.7k
J T Sandlund	1.6k 0.5×	1.1k 0.4×	872 0.7×	459 0.6×	256 0.5×	31	2.4k
Fred G. Behm	1.3k 0.4×	1.1k 0.4×	457 0.4×	675 0.9×	270 0.5×	38	2.3k
H. Diedrich	1.6k 0.5×	1.4k 0.5×	443 0.4×	303 0.4×	345 0.7×	34	2.8k
Thorsten Raff	1.5k 0.5×	1.3k 0.5×	481 0.4×	376 0.5×	592 1.1×	32	2.6k
Oumédaly Reman	1.4k 0.4×	1.9k 0.7×	315 0.3×	642 0.9×	619 1.2×	67	3.0k

Countries citing papers authored by DJ Pullen

Since Specialization

Citations

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

Fields of papers citing papers by DJ Pullen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DJ Pullen

This figure shows the co-authorship network connecting the top 25 collaborators of DJ Pullen. A scholar is included among the top collaborators of DJ Pullen 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 DJ Pullen. DJ Pullen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bowman, W. Paul, Eric Larsen, Meenakshi Devidas, et al.. (2011). Augmented therapy improves outcome for pediatric high risk acute lymphocytic leukemia: Results of Children's Oncology Group trial P9906. Pediatric Blood & Cancer. 57(4). 569–577. 32 indexed citations

Borowitz, Michael J., DJ Pullen, Naomi Winick, et al.. (2005). Comparison of diagnostic and relapse flow cytometry phenotypes in childhood acute lymphoblastic leukemia: Implications for residual disease detection: A report from the children's oncology group. Cytometry Part B Clinical Cytometry. 68B(1). 18–24. 70 indexed citations

Whitehead, V. Michael, J J Shuster, Donald H. Mahoney, et al.. (2005). Accumulation of methotrexate and methotrexate polyglutamates in lymphoblasts and treatment outcome in children with B-progenitor-cell acute lymphoblastic leukemia: a Pediatric Oncology Group study. Leukemia. 19(4). 533–536. 20 indexed citations

Borowitz, Michael J., DJ Pullen, Jonathan J. Shuster, et al.. (2003). Minimal residual disease detection in childhood precursor–B-cell acute lymphoblastic leukemia: relation to other risk factors. A Children's Oncology Group study. Leukemia. 17(8). 1566–1572. 103 indexed citations

Whitehead, V. Michael, Linda D. Cooley, S J Lauer, et al.. (2001). The association of the TEL-AML1 chromosomal translocation with the accumulation of methotrexate polyglutamates in lymphoblasts and with ploidy in childhood B-progenitor cell acute lymphoblastic leukemia: a Pediatric Oncology Group study. Leukemia. 15(7). 1081–1088. 22 indexed citations

Kaleem, Zahid, et al.. (2000). Acute lymphoblastic leukemia with an unusual t(8;14)(q11.2;q32): a Pediatric Oncology Group study. Leukemia. 14(2). 238–240. 13 indexed citations

Navid, Fariba, DR Head, Jamie L. Carroll, et al.. (1999). Acute lymphoblastic leukemia with the (8;14)(q24;q32) translocation and FAB L3 morphology associated with a B-precursor immunophenotype: the Pediatric Oncology Group experience. Leukemia. 13(1). 135–141. 51 indexed citations

Whitehead, V. Michael, Linda D. Cooley, S J Lauer, et al.. (1998). Accumulation of Methotrexate Polyglutamates, Ploidy and Trisomies of Both Chromosomes 4 and 10 in Lymphoblasts from Children with B-Progenitor Cell Acute Lymphoblastic Leukemia: a Pediatric Oncology Group Study. Leukemia & lymphoma. 31(5-6). 507–519. 27 indexed citations

Harris, M. Brennan, J J Shuster, DJ Pullen, et al.. (1998). Consolidation therapy with antimetabolite-based therapy in standard-risk acute lymphocytic leukemia of childhood: a Pediatric Oncology Group Study.. Journal of Clinical Oncology. 16(8). 2840–2847. 26 indexed citations

10.

Borowitz, MJ, et al.. (1998). Surface antigen phenotype can predict TEL-AML1 rearrangement in childhood B-precursor ALL: a Pediatric Oncology Group study. Leukemia. 12(11). 1764–1770. 51 indexed citations

11.

Ochs, J, Jonathan J. Shuster, Ronald L. Dubowy, et al.. (1997). Therapeutic Trial for Infant Acute Lymphoblastic Leukemia: The Pediatric Oncology Group Experience (POG 8493). The American journal of pediatric hematology/oncology. 19(1). 35–42. 52 indexed citations

12.

Rubnitz, Jeffrey E., ML Cleary, LS Frankel, et al.. (1997). Lack of ETV6 (TEL) gene rearrangements or p16INK4A/p15INK4B homozygous gene deletions in infant acute lymphoblastic leukemia. Leukemia. 11(7). 979–983. 7 indexed citations

13.

Land, Vita J., J J Shuster, W M Crist, et al.. (1994). Comparison of two schedules of intermediate-dose methotrexate and cytarabine consolidation therapy for childhood B-precursor cell acute lymphoblastic leukemia: a Pediatric Oncology Group study.. Journal of Clinical Oncology. 12(9). 1939–1945. 41 indexed citations

14.

Pettenati, Mark J., Nagesh Rao, Marcia M. Wofford, et al.. (1994). Presenting characteristics of trisomy 8 as the primary cytogenetic abnormality associated with childhood acute lymphoblastic leukemia. Cancer Genetics and Cytogenetics. 75(1). 6–10. 13 indexed citations

15.

Borowitz, Michael J., Andrew J. Carroll, Jonathan J. Shuster, et al.. (1993). Use of Clinical and Laboratory Features to Define Prognostic Subgroups in B-Precursor Acute Lymphoblastic Leukemia: Experience of the Pediatric Oncology Group. Recent results in cancer research. 131. 257–267. 9 indexed citations

16.

Pui, Ching‐Hon, S Raimondi, M Borowitz, et al.. (1993). Immunophenotypes and karyotypes of leukemic cells in children with Down syndrome and acute lymphoblastic leukemia.. Journal of Clinical Oncology. 11(7). 1361–1367. 49 indexed citations

17.

Graham, Michael L., J J Shuster, Barton A. Kamen, et al.. (1992). Red blood cell methotrexate and folate levels in children with acute lymphoblastic leukemia undergoing therapy: a Pediatric Oncology Group pilot study. Cancer Chemotherapy and Pharmacology. 31(3). 217–222. 22 indexed citations

18.

Borowitz, M, Jonathan J. Shuster, Curt I. Civin, et al.. (1990). Prognostic significance of CD34 expression in childhood B-precursor acute lymphocytic leukemia: a Pediatric Oncology Group study.. Journal of Clinical Oncology. 8(8). 1389–1398. 77 indexed citations

19.

Shuster, JJ, JM Falletta, DJ Pullen, et al.. (1990). Prognostic factors in childhood T-cell acute lymphoblastic leukemia: a Pediatric Oncology Group study. Blood. 75(1). 166–173. 83 indexed citations

20.

Pullen, DJ. (1962). “Conovid-E” as an Oral Contraceptive. BMJ. 2(5311). 1016–1019. 11 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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