Diane L. Pickering

3.3k total citations
29 papers, 1.3k citations indexed

About

Diane L. Pickering is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Diane L. Pickering has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 13 papers in Pathology and Forensic Medicine and 10 papers in Oncology. Recurrent topics in Diane L. Pickering's work include Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (12 papers) and Genomic variations and chromosomal abnormalities (9 papers). Diane L. Pickering is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (12 papers) and Genomic variations and chromosomal abnormalities (9 papers). Diane L. Pickering collaborates with scholars based in United States, Switzerland and Netherlands. Diane L. Pickering's co-authors include Warren G. Sanger, Dennis D. Weisenburger, Sherrie L. Perkins, Julia A. Bridge, Melissa H. Cessna, Holly Zhou, Sheryl R. Tripp, Cheryl M. Coffin, Jamés O. Armitage and Bhavana J. Davé and has published in prestigious journals such as Blood, American Journal Of Pathology and The American Journal of Surgical Pathology.

In The Last Decade

Diane L. Pickering

28 papers receiving 1.2k citations

Peers

Diane L. Pickering
Tipu Nazeer United States
A Marmont Italy
Noah A. Brown United States
António E. Pinto Portugal
Manuela Badoglio France
A H Ragab United States
Chandrika Sreekantaiah United States
Jerian F. Lim Canada
JE Leonard United States
RA Newman United States
Tipu Nazeer United States
Diane L. Pickering
Citations per year, relative to Diane L. Pickering Diane L. Pickering (= 1×) peers Tipu Nazeer

Countries citing papers authored by Diane L. Pickering

Since Specialization
Citations

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

Fields of papers citing papers by Diane L. Pickering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane L. Pickering

This figure shows the co-authorship network connecting the top 25 collaborators of Diane L. Pickering. A scholar is included among the top collaborators of Diane L. Pickering 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 Diane L. Pickering. Diane L. Pickering 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.
Stevens, Jadd M., Diane L. Pickering, Pamela A. Althof, et al.. (2021). Frequency, variations, and prognostic implications of chromosome 14q32 deletions in chronic lymphocytic leukemia. Leukemia Research. 110. 106665–106665. 3 indexed citations
2.
Sanmann, Jennifer N., Diane L. Pickering, Jadd M. Stevens, et al.. (2015). Assessing the utility of confirmatory studies following identification of large-scale genomic imbalances by microarray. Genetics in Medicine. 17(11). 875–879. 5 indexed citations
3.
Starr, Lois J., Edward J. Truemper, Diane L. Pickering, Warren G. Sanger, & Ann Haskins Olney. (2014). Duplication of 20qter and deletion of 20pter due to paternal pericentric inversion: Patient report and review of 20qter duplications. American Journal of Medical Genetics Part A. 164(8). 2020–2024. 13 indexed citations
4.
Sanmann, Jennifer N., Lois J. Starr, Diane L. Pickering, et al.. (2012). Characterization of six novel patients with MECP2 duplications due to unbalanced rearrangements of the X chromosome. American Journal of Medical Genetics Part A. 158A(6). 1285–1291. 19 indexed citations
5.
Davé, Bhavana J., et al.. (2009). Inherited 14q duplication and 21q deletion: A rare adjacent‐2 segregation in multiple family members. American Journal of Medical Genetics Part A. 149A(10). 2248–2253. 13 indexed citations
6.
Pickering, Diane L., James D. Eudy, Ann Haskins Olney, et al.. (2008). Array-based comparative genomic hybridization analysis of 1176 consecutive clinical genetics investigations. Genetics in Medicine. 10(4). 262–266. 37 indexed citations
7.
Aoun, Patricia, Guimei Zhou, Wing C. Chan, et al.. (2007). Familial B-Cell Chronic Lymphocytic Leukemia. American Journal of Clinical Pathology. 127(1). 31–38. 7 indexed citations
8.
Olney, Ann Haskins, et al.. (2005). Cryptic duplication and deletion of 9q34.3 → qter in a family with a t(9;22)(q34.3;p11.2). American Journal of Medical Genetics Part A. 138A(1). 51–55. 6 indexed citations
9.
Davé, Bhavana J., Diane L. Pickering, Deborah Perry, et al.. (2005). 9q34 Rearrangements in BCR/ABL fusion-negative acute lymphoblastic leukemia. Cancer Genetics and Cytogenetics. 162(1). 30–37. 2 indexed citations
10.
Perkins, Sherrie L., Diane L. Pickering, Eric Lowe, et al.. (2005). Childhood anaplastic large cell lymphoma has a high incidence of ALK gene rearrangement as determined by immunohistochemical staining and fluorescent in situ hybridisation: a genetic and pathological correlation*. British Journal of Haematology. 131(5). 624–627. 54 indexed citations
11.
12.
Davé, Bhavana J., et al.. (2004). Cytogenetics and fluorescence in situ hybridization studies of diffuse large B-cell lymphoma in children and young adults. Cancer Genetics and Cytogenetics. 153(2). 115–121. 26 indexed citations
13.
Davé, Bhavana J., Marilu Nelson, Diane L. Pickering, et al.. (2002). Cytogenetic characterization of diffuse large cell lymphoma using multi-color fluorescence in situ hybridization. Cancer Genetics and Cytogenetics. 132(2). 125–132. 31 indexed citations
14.
Cessna, Melissa H., Holly Zhou, Warren G. Sanger, et al.. (2002). Expression of ALK1 and p80 in Inflammatory Myofibroblastic Tumor and Its Mesenchymal Mimics: A Study of 135 Cases. Modern Pathology. 15(9). 931–938. 262 indexed citations
15.
Bridge, Julia A., Masahiko Kanamori, Zhigui Ma, et al.. (2001). Fusion of the ALK Gene to the Clathrin Heavy Chain Gene, CLTC, in Inflammatory Myofibroblastic Tumor. American Journal Of Pathology. 159(2). 411–415. 245 indexed citations
16.
Davé, Bhavana J., et al.. (1999). Deletion of Cell Division Cycle 2-Like 1 Gene Locus on 1p36 in Non-Hodgkin Lymphoma. Cancer Genetics and Cytogenetics. 108(2). 120–126. 35 indexed citations
17.
Roberts, Cory A., et al.. (1998). Involvement of 3q21 in Nodular Fasciitis. Cancer Genetics and Cytogenetics. 106(2). 177–179. 21 indexed citations
18.
Mathew, Prasad, Warren G. Sanger, Dennis D. Weisenburger, et al.. (1997). Detection of the t(2; 5)(p23; q35) and NPM-ALK Fusion in Non-Hodgkin's Lymphoma by Two-Color Fluorescence In Situ Hybridization. Blood. 89(5). 1678–1685. 3 indexed citations
19.
Schaefer, G. Bradley, Bruce A. Buehler, Shelley D. Smith, et al.. (1995). Familial inverted duplication 7p. American Journal of Medical Genetics. 56(2). 184–187. 13 indexed citations
20.
Bridge, Julia A., Diane L. Pickering, & James R. Neff. (1994). Cytogenetic and molecular cytogenetic analysis of sacral chordoma. Cancer Genetics and Cytogenetics. 75(1). 23–25. 24 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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