Clive Buckle

415 total citations
9 papers, 279 citations indexed

About

Clive Buckle is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Clive Buckle has authored 9 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in Clive Buckle's work include Bone health and treatments (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Bone Metabolism and Diseases (5 papers). Clive Buckle is often cited by papers focused on Bone health and treatments (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Bone Metabolism and Diseases (5 papers). Clive Buckle collaborates with scholars based in United Kingdom, Belgium and Australia. Clive Buckle's co-authors include Peter I. Croucher, Karin Vanderkerken, Andrew Chantry, Holly Evans, D Heath, John D. Shaughnessy, David R. Stover, John A. Snowden, Michelle A. Lawson and Kwee Yong and has published in prestigious journals such as PLoS ONE, Journal of Bone and Mineral Research and Molecular Therapy.

In The Last Decade

Clive Buckle

9 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clive Buckle United Kingdom	6	180	157	125	35	25	9	279
Etsuko Sekimoto Japan	5	197 1.1×	159 1.0×	180 1.4×	7 0.2×	16 0.6×	21	318
E Martella Italy	4	128 0.7×	97 0.6×	100 0.8×	21 0.6×	8 0.3×	8	207
Jin Asano Japan	4	215 1.2×	157 1.0×	193 1.5×	7 0.2×	20 0.8×	11	318
R Bataille France	5	238 1.3×	120 0.8×	265 2.1×	16 0.5×	11 0.4×	15	350
Sophia Balderman United States	8	59 0.3×	78 0.5×	135 1.1×	7 0.2×	20 0.8×	19	234
Aneta Schieferdecker Germany	7	96 0.5×	83 0.5×	40 0.3×	9 0.3×	5 0.2×	17	203
Hamish G. Campbell New Zealand	12	156 0.9×	204 1.3×	44 0.4×	4 0.1×	26 1.0×	14	335
Juan Esteban García-Robledo United States	9	102 0.6×	68 0.4×	64 0.5×	3 0.1×	23 0.9×	33	266
Kausar J. Jabbar United States	9	66 0.4×	86 0.5×	236 1.9×	6 0.2×	11 0.4×	14	398
Thomas Brouse United States	4	112 0.6×	112 0.7×	56 0.4×	5 0.1×	5 0.2×	6	275

Countries citing papers authored by Clive Buckle

Since Specialization

Citations

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

Fields of papers citing papers by Clive Buckle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clive Buckle

This figure shows the co-authorship network connecting the top 25 collaborators of Clive Buckle. A scholar is included among the top collaborators of Clive Buckle 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 Clive Buckle. Clive Buckle 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

Lath, Darren, Clive Buckle, Holly Evans, et al.. (2018). ARQ-197, a small-molecule inhibitor of c-Met, reduces tumour burden and prevents myeloma-induced bone disease in vivo. PLoS ONE. 13(6). e0199517–e0199517. 10 indexed citations

Ahmed, Farid, et al.. (2017). The BMP antagonist Noggin is produced by osteoblasts in response to the presence of prostate cancer cells. Biotechnology and Applied Biochemistry. 65(3). 407–418. 7 indexed citations

Buckle, Clive, Evy De Leenheer, Michelle A. Lawson, et al.. (2012). Soluble Rank Ligand Produced by Myeloma Cells Causes Generalised Bone Loss in Multiple Myeloma. PLoS ONE. 7(8). e41127–e41127. 23 indexed citations

Buckle, Clive, Helen Neville-Webbe, Peter I. Croucher, & Michelle A. Lawson. (2010). Targeting RANK/RANKL in the Treatment of Solid Tumours and Myeloma. Current Pharmaceutical Design. 16(11). 1272–1283. 11 indexed citations

Cross, Neil A., Elizabeth A. Waterman, Clive Buckle, et al.. (2008). Phenotypic variations of TRAIL sensitivity in cloned populations of prostate cancer cells. Journal of Cellular Biochemistry. 104(4). 1452–1464. 5 indexed citations

Chantry, Andrew, Clive Buckle, Les Coulton, et al.. (2008). OC7. Inhibiting dickkopf-1 (Dkk-1) prevents the development of osteolytic bone disease in multiple myeloma. Cancer Treatment Reviews. 34. 52–52. 1 indexed citations

Heath, D, Andrew Chantry, Clive Buckle, et al.. (2008). Inhibiting Dickkopf-1 (Dkk1) Removes Suppression of Bone Formation and Prevents the Development of Osteolytic Bone Disease in Multiple Myeloma. Journal of Bone and Mineral Research. 24(3). 425–436. 192 indexed citations

Rabin, Neil, Chara Kyriakou, L. Coulton, et al.. (2007). A new xenograft model of myeloma bone disease demonstrating the efficacy of human mesenchymal stem cells expressing osteoprotegerin by lentiviral gene transfer. Leukemia. 21(10). 2181–2191. 29 indexed citations

Kyriakou, Chara, Arnold Pizzey, Clive Buckle, et al.. (2006). 663. Gene Modified Human Mesenchymal Stem Cells Expressing Osteoprotegerin Reverse Osteoclast Activation in a Xenogeneic Murine Model of Multiple Myeloma. Molecular Therapy. 13. S256–S256. 1 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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