Sheila J.M. O’Connor

2.9k total citations
44 papers, 1.8k citations indexed

About

Sheila J.M. O’Connor is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Sheila J.M. O’Connor has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 18 papers in Hematology and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Sheila J.M. O’Connor's work include Chronic Lymphocytic Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (16 papers) and Multiple Myeloma Research and Treatments (10 papers). Sheila J.M. O’Connor is often cited by papers focused on Chronic Lymphocytic Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (16 papers) and Multiple Myeloma Research and Treatments (10 papers). Sheila J.M. O’Connor collaborates with scholars based in United Kingdom, United States and Australia. Sheila J.M. O’Connor's co-authors include Andrew Jack, Roger G. Owen, Gareth J. Morgan, Andy C. Rawstron, Paul Evans, Stephen J. Richards, Peter Hillmen, James A. L. Fenton, Marwan Kwok and Sharon Barrans and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Sheila J.M. O’Connor

43 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheila J.M. O’Connor United Kingdom 16 970 927 505 436 404 44 1.8k
Anne‐Sophie Michallet France 22 728 0.8× 771 0.8× 388 0.8× 475 1.1× 362 0.9× 93 1.5k
Rachel Ibbotson United Kingdom 18 1.7k 1.7× 1.2k 1.3× 934 1.8× 190 0.4× 262 0.6× 36 2.3k
Mina L. Xu United States 18 208 0.2× 580 0.6× 695 1.4× 355 0.8× 781 1.9× 78 2.2k
James C. Lynch United States 20 391 0.4× 916 1.0× 219 0.4× 248 0.6× 934 2.3× 31 1.8k
Robert Rohrberg Germany 14 535 0.6× 648 0.7× 163 0.3× 230 0.5× 486 1.2× 27 1.1k
Anne Uyttebroeck Belgium 27 398 0.4× 891 1.0× 251 0.5× 402 0.9× 734 1.8× 132 2.7k
Alistair Reid United Kingdom 25 2.4k 2.5× 399 0.4× 156 0.3× 2.8k 6.5× 386 1.0× 70 3.6k
J Ochs United States 24 427 0.4× 291 0.3× 157 0.3× 490 1.1× 332 0.8× 36 1.6k
Hyeon Jin Park South Korea 19 285 0.3× 172 0.2× 210 0.4× 155 0.4× 266 0.7× 92 1.6k
U Mazza Italy 21 868 0.9× 258 0.3× 58 0.1× 661 1.5× 239 0.6× 86 1.4k

Countries citing papers authored by Sheila J.M. O’Connor

Since Specialization
Citations

This map shows the geographic impact of Sheila J.M. O’Connor'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 Sheila J.M. O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheila J.M. O’Connor more than expected).

Fields of papers citing papers by Sheila J.M. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila J.M. O’Connor. 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 Sheila J.M. O’Connor. The network helps show where Sheila J.M. O’Connor may publish in the future.

Co-authorship network of co-authors of Sheila J.M. O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Sheila J.M. O’Connor. A scholar is included among the top collaborators of Sheila J.M. O’Connor 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 Sheila J.M. O’Connor. Sheila J.M. O’Connor 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.
Egan, Philip, et al.. (2022). IgD multiple myeloma: biology, diagnosis, and treatment. Leukemia & lymphoma. 63(14). 3433–3437. 1 indexed citations
3.
Bick, Debra, Cath Taylor, Vanita Bhavnani, et al.. (2020). Lifestyle information and access to a commercial weight management group to promote maternal postnatal weight management and positive lifestyle behaviour: the SWAN feasibility RCT. SHILAP Revista de lepidopterología. 8(9). 1–176. 1 indexed citations
4.
Egan, Philip, et al.. (2020). Multiple myeloma with central nervous system relapse. Haematologica. 105(7). 1780–1790. 33 indexed citations
6.
Howard, Louise M., Elizabeth Ryan, Kylee Trevillion, et al.. (2018). Accuracy of the Whooley questions and the Edinburgh Postnatal Depression Scale in identifying depression and other mental disorders in early pregnancy. The British Journal of Psychiatry. 212(1). 50–56. 120 indexed citations
7.
Kwok, Marwan, Andy C. Rawstron, Abraham Varghese, et al.. (2016). Minimal residual disease is an independent predictor for 10-year survival in CLL. Blood. 128(24). 2770–2773. 95 indexed citations
9.
Lehwaldt, Daniela, et al.. (2009). Postoperative hyperglycaemia of diabetic patients undergoing cardiac surgery – a clinical audit. Nursing in Critical Care. 14(5). 241–253. 5 indexed citations
10.
O’Connor, Sheila J.M., Harish Verma, Sisa Grubnic, & C F Rayner. (2009). Chest radiographs in pregnancy. BMJ. 339(oct09 1). b4057–b4057. 1 indexed citations
11.
Feyler, Sylvia, Sheila J.M. O’Connor, Andy C. Rawstron, et al.. (2008). IgM myeloma: a rare entity characterized by a CD20CD56CD117 immunophenotype and the t(11;14). British Journal of Haematology. 140(5). 547–551. 33 indexed citations
12.
Ackroyd, Sam, Sheila J.M. O’Connor, & Roger G. Owen. (2005). Rarity of IgH translocations in Waldenström macroglobulinemia. Cancer Genetics and Cytogenetics. 163(1). 77–80. 14 indexed citations
13.
Barrans, Sharon, Paul Evans, Sheila J.M. O’Connor, et al.. (2003). The Detection of t(14;18) in Archival Lymph Nodes. Journal of Molecular Diagnostics. 5(3). 168–175. 38 indexed citations
14.
Barrans, Sharon, Sheila J.M. O’Connor, Paul Evans, et al.. (2002). Rearrangement of the BCL6 locus at 3q27 is an independent poor prognostic factor in nodal diffuse large B‐cell lymphoma. British Journal of Haematology. 117(2). 322–332. 96 indexed citations
15.
Owen, Roger G., Sharon Barrans, Stephen J. Richards, et al.. (2001). Waldenström Macroglobulinemia. American Journal of Clinical Pathology. 116(3). 420–428. 101 indexed citations
16.
O’Connor, Sheila J.M., Paul Evans, & Gareth J. Morgan. (1999). Diagnostic Approaches to Acute Promyelocytic Leukaemia. Leukemia & lymphoma. 33(1-2). 53–63. 9 indexed citations
17.
Davies, Faith E., Andy C. Rawstron, Guy Pratt, et al.. (1999). FICTION‐TSA analysis of the B‐cell compartment in myeloma shows no significant expansion of myeloma precursor cells. British Journal of Haematology. 106(1). 40–46. 11 indexed citations
18.
O’Connor, Sheila J.M., Peter Forsyth, Surita Dalal, et al.. (1997). The rapid diagnosis of acute promyelocytic leukaemia using PML (5E10) monoclonal antibody. British Journal of Haematology. 99(3). 597–604. 17 indexed citations
19.
Nacheva, Elisabeth P., Martin J.S. Dyer, D Jadayel, et al.. (1994). B-cell non-Hodgkin's lymphoma cell line (Karpas 1106) with complex translocation involving 18q21.3 but lacking BCL2 rearrangement and expression. Blood. 84(10). 3422–3428. 31 indexed citations
20.
Wimperis, J. Z., Laura Brandt, Sheila J.M. O’Connor, Robert Marcus, & Valerie Broadbent. (1992). Unusual presentation of common acute lymphoblastic leukemia antigen-positive extramedullary disease in childhood. Two patients with isolated masseter muscle involvement. Cancer. 70(4). 897–901. 4 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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