Curly Morris

2.1k total citations
53 papers, 1.1k citations indexed

About

Curly Morris is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Curly Morris has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hematology, 23 papers in Molecular Biology and 22 papers in Oncology. Recurrent topics in Curly Morris's work include Multiple Myeloma Research and Treatments (37 papers), Protein Degradation and Inhibitors (13 papers) and Hematopoietic Stem Cell Transplantation (11 papers). Curly Morris is often cited by papers focused on Multiple Myeloma Research and Treatments (37 papers), Protein Degradation and Inhibitors (13 papers) and Hematopoietic Stem Cell Transplantation (11 papers). Curly Morris collaborates with scholars based in United Kingdom, Sweden and Germany. Curly Morris's co-authors include Mary Drake, Jamie Cavenagh, Dixie‐Lee Esseltine, Heather Oakervee, Rakesh Popat, Nicola Curry, David P. Schenkein, Samir Agrawal, Gösta Gahrton and Bo Björkstrand and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Curly Morris

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Curly Morris United Kingdom 16 815 630 438 109 80 53 1.1k
Muhammad Shurafa United States 12 420 0.5× 271 0.4× 319 0.7× 262 2.4× 53 0.7× 29 912
Hillard Lazarus United States 11 345 0.4× 220 0.3× 163 0.4× 65 0.6× 61 0.8× 17 699
Moritz Binder United States 19 396 0.5× 325 0.5× 143 0.3× 165 1.5× 91 1.1× 76 909
Alexander Gural Israel 18 313 0.4× 328 0.5× 136 0.3× 111 1.0× 53 0.7× 48 885
Sonja Mandl–Weber Germany 16 241 0.3× 511 0.8× 225 0.5× 117 1.1× 77 1.0× 26 921
Benedikt Schaefer Austria 19 481 0.6× 326 0.5× 441 1.0× 301 2.8× 22 0.3× 44 1.3k
Alice Chin United States 14 400 0.5× 426 0.7× 223 0.5× 69 0.6× 362 4.5× 24 1.1k
Liping Dou China 17 363 0.4× 484 0.8× 113 0.3× 87 0.8× 111 1.4× 101 962
Songfu Jiang China 18 251 0.3× 361 0.6× 418 1.0× 54 0.5× 205 2.6× 61 861
Patrick J. Kerzic United States 14 342 0.4× 180 0.3× 241 0.6× 123 1.1× 148 1.9× 19 775

Countries citing papers authored by Curly Morris

Since Specialization
Citations

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

Fields of papers citing papers by Curly Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Curly Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Curly Morris. A scholar is included among the top collaborators of Curly Morris 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 Curly Morris. Curly Morris 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.
Cook, Gordon & Curly Morris. (2020). Evolution or revolution in multiple myeloma therapy and the role of the UK. British Journal of Haematology. 191(4). 542–551. 5 indexed citations
2.
Garderet, Laurent, Curly Morris, Meral Beksaç, et al.. (2020). Are Autologous Stem Cell Transplants Still Required to Treat Myeloma in the Era of Novel Therapies? A Review from the Chronic Malignancies Working Party of the EBMT. Biology of Blood and Marrow Transplantation. 26(9). 1559–1566. 4 indexed citations
3.
Garderet, Laurent, Anita D’Souza, Paulette Jacobs, et al.. (2017). Response Assessment in Myeloma: Practical Manual on Consistent Reporting in an Era of Dramatic Therapeutic Advances. Biology of Blood and Marrow Transplantation. 23(7). 1193–1202. 13 indexed citations
4.
5.
Bruno, Benedetto, Holger W. Auner, Gösta Gahrton, et al.. (2016). Stem cell transplantation in multiple myeloma and other plasma cell disorders (report from an EBMT preceptorship meeting). Leukemia & lymphoma. 57(6). 1256–1268. 7 indexed citations
6.
7.
Schey, Steve, Sarah Brown, Kwee Yong, et al.. (2015). Bendamustine, thalidomide and dexamethasone combination therapy for relapsed/refractory myeloma patients: results of the MUKone randomized dose selection trial. British Journal of Haematology. 170(3). 336–348. 16 indexed citations
8.
Sahebi, Firoozeh, S. Iacobelli, Anja van Biezen, et al.. (2015). Comparison of upfront tandem autologous–allogeneic transplantation versus reduced intensity allogeneic transplantation for multiple myeloma. Bone Marrow Transplantation. 50(6). 802–807. 10 indexed citations
9.
10.
Björkstrand, Bo, Simona Iacobelli, Ute Hegenbart, et al.. (2011). Tandem Autologous/Reduced-Intensity Conditioning Allogeneic Stem-Cell Transplantation Versus Autologous Transplantation in Myeloma: Long-Term Follow-Up. Journal of Clinical Oncology. 29(22). 3016–3022. 118 indexed citations
11.
Morris, Curly, Mary Drake, Jane F. Apperley, et al.. (2010). Efficacy and outcome of autologous transplantation in rare myelomas. Haematologica. 95(12). 2126–2133. 38 indexed citations
12.
Kröger, Nicolaus, Avichai Shimoni, Georgia Schilling, et al.. (2009). Unrelated stem cell transplantation after reduced intensity conditioning for patients with multiple myeloma relapsing after autologous transplantation. British Journal of Haematology. 148(2). 323–331. 42 indexed citations
13.
Iacobelli, Stefano, Ute Hegenbart, Astrid Gruber, et al.. (2008). Autologous stem cell transplantation (ASCT) vs ASCT followed by reduced-intensity conditioning allogeneic SCT with identical sibling donor in previously untreated multiple myeloma: preliminary analysis of a prospective controlled trial by the EBMT. Bone Marrow Transplantation. 41. 1 indexed citations
14.
Iacobelli, Simona, Jane F. Apperley, & Curly Morris. (2008). Assessment of the role of timing of second transplantation in multiple myeloma by multistate modeling. Experimental Hematology. 36(11). 1567–1571. 4 indexed citations
15.
Davies, Faith E., Curly Morris, Jenny Bird, et al.. (2008). United Kingdom myeloma forum position statement on the use of lenalidomide in multiple myeloma. International Journal of Laboratory Hematology. 31(2). 119–131. 1 indexed citations
16.
17.
Oakervee, Heather, Rakesh Popat, Nicola Curry, et al.. (2005). PAD combination therapy (PS‐341/bortezomib, doxorubicin and dexamethasone) for previously untreated patients with multiple myeloma. British Journal of Haematology. 129(6). 755–762. 235 indexed citations
18.
Morris, Curly, et al.. (2000). DEPARTMENT OF ERROR. The Lancet. 355(9208). 1020–1020. 1 indexed citations
19.
Humphreys, Mervyn, et al.. (1997). Klinefelter Syndrome and Non-Hodgkin Lymphoma. Cancer Genetics and Cytogenetics. 97(2). 111–113. 12 indexed citations
20.
Morris, Curly. (1991). Sputum Examination in the Screening and Diagnosis of Pulmonary Tuberculosis in the Elderly. QJM. 81(3). 999–1004. 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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