Jamie L. Carroll

1.1k total citations
9 papers, 827 citations indexed

About

Jamie L. Carroll is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Genetics. According to data from OpenAlex, Jamie L. Carroll has authored 9 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 7 papers in Hematology and 2 papers in Genetics. Recurrent topics in Jamie L. Carroll's work include Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (6 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Jamie L. Carroll is often cited by papers focused on Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (6 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Jamie L. Carroll collaborates with scholars based in United States and Canada. Jamie L. Carroll's co-authors include Claudia D. Baldus, Brian Becknell, Krzysztof Mrózek, Richard A. Larson, Susan P. Whitman, Feng Lin, M. A. Caligiuri, Stephen L. George, Kellie J. Archer and Clara D. Bloomfield and has published in prestigious journals such as Blood, Leukemia and PubMed.

In The Last Decade

Jamie L. Carroll

9 papers receiving 802 citations

Peers

Countries citing papers authored by Jamie L. Carroll

Since Specialization

Citations

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

Fields of papers citing papers by Jamie L. Carroll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie L. Carroll. 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 Jamie L. Carroll. The network helps show where Jamie L. Carroll may publish in the future.

Co-authorship network of co-authors of Jamie L. Carroll

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Core binding factor acute myeloid leukemia. Cancer and Leukemia Group B (CALGB) Study 8461. 2004 ·PubMed ·C. D. Bloomfield, (unknown), Krzysztof Mrózek, (unknown), J O Moore, Ruth J. Mayer, (unknown), (unknown), J W Vardiman, Jamie L. Carroll, (unknown), J. Stamberg, John C. Byrd, Guido Marcucci, Richard A. Larson, (unknown)	10
2	Absence of the wild-type allele predicts poor prognosis in adult de novo acute myeloid leukemia with normal cytogenetics and the internal tandem duplication of FLT3: a cancer and leukemia group B study. 2001 ·PubMed ·Susan P. Whitman, Kellie J. Archer, Feng Lin, Claudia D. Baldus, Brian Becknell, (unknown), Jamie L. Carroll, Krzysztof Mrózek, J W Vardiman, Stephen L. George, (unknown), Richard A. Larson, Clara D. Bloomfield, M. A. Caligiuri	470
3	Prognostic factors in children and adolescents with acute myeloid leukemia (excluding children with Down syndrome and acute promyelocytic leukemia): univariate and recursive partitioning analysis of patients treated on Pediatric Oncology Group (POG) Study 8821 2000 ·Leukemia ·M N Chang, SC Raimondi, Yaddanapudi Ravindranath, Jamie L. Carroll, Bruce M. Camitta, (unknown), CP Steuber, H Weinstein	56
4	Acute lymphoblastic leukemia with an unusual t(8;14)(q11.2;q32): a Pediatric Oncology Group study 2000 ·Leukemia ·Zahid Kaleem, JJ Shuster, Jamie L. Carroll, (unknown), DJ Pullen, (unknown), (unknown), (unknown)	13
5	Treatment of children with early pre-B and pre-B acute lymphocytic leukemia with antimetabolite-based intensification regimens: a Pediatric Oncology Group Study 2000 ·Leukemia ·(unknown), JJ Shuster, Jeanette Pullen, (unknown), Jamie L. Carroll, F G Behm, BM Camitta, VJ Land	21
6	Significance of commonly used prognostic factors differs for children with T cell acute lymphocytic leukemia (ALL), as compared to those with B-precursor ALL. A Pediatric Oncology Group (POG) study 1999 ·Leukemia ·Jeanette Pullen, JJ Shuster, Michael P. Link, M Borowitz, M Amylon, Jamie L. Carroll, Vita J. Land, A. Thomas Look, (unknown), BM Camitta	95
7	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 1999 ·Leukemia ·Fariba Navid, (unknown), DR Head, (unknown), Jamie L. Carroll, (unknown), MP Link, (unknown), Giles Thomas, (unknown), (unknown), TJ Vietti, DJ Pullen	51
8	The der(11)-encoded MLL/AF-4 fusion transcript is consistently detected in t(4;11)(q21;q23)-containing acute lymphoblastic leukemia 1994 ·Blood ·JR Downing, DR Head, SC Raimondi, Jamie L. Carroll, (unknown), (unknown), (unknown), DJ Pullen, (unknown)	69
9	tdic(9;12): a nonrandom chromosome abnormality in childhood B-cell precursor acute lymphoblastic leukemia: a Pediatric Oncology Group Study 1987 ·Blood ·Jamie L. Carroll, SC Raimondi, (unknown), FG Behm, M Borowitz, R P Castleberry, (unknown), (unknown), DJ Pullen, W M Crist	42

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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