Gavin Babbage

6.9k total citations
9 papers, 433 citations indexed

About

Gavin Babbage is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Gavin Babbage has authored 9 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in Gavin Babbage's work include Chronic Lymphocytic Leukemia Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Lymphoma Diagnosis and Treatment (3 papers). Gavin Babbage is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Lymphoma Diagnosis and Treatment (3 papers). Gavin Babbage collaborates with scholars based in United Kingdom, Italy and Netherlands. Gavin Babbage's co-authors include Surinder S. Sahota, Freda K. Stevenson, Christian H. Ottensmeier, Richard Garand, Jeremy P. Blaydes, David Oscier, Peter Thomas, Jenny Orchard, Estella Matutes and Daniel Catovsky and has published in prestigious journals such as Blood, Cancer Research and PubMed.

In The Last Decade

Gavin Babbage

9 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gavin Babbage United Kingdom 6 254 242 154 142 109 9 433
Aruna Gowda United States 8 263 1.0× 222 0.9× 186 1.2× 231 1.6× 87 0.8× 15 516
E. Emmett United Kingdom 7 269 1.1× 333 1.4× 217 1.4× 126 0.9× 48 0.4× 7 447
B Coiffier France 7 392 1.5× 267 1.1× 168 1.1× 233 1.6× 38 0.3× 13 519
Vaishalee P. Kenkre United States 13 258 1.0× 208 0.9× 120 0.8× 260 1.8× 73 0.7× 37 456
Sharron Glide United Kingdom 4 417 1.6× 522 2.2× 259 1.7× 116 0.8× 105 1.0× 5 578
Elena Ruíz-Ballesteros Spain 8 299 1.2× 211 0.9× 96 0.6× 164 1.2× 174 1.6× 8 468
Shih‐Shih Chen United States 12 214 0.8× 321 1.3× 236 1.5× 118 0.8× 126 1.2× 41 494
Matthew Kaufman United States 8 368 1.4× 565 2.3× 346 2.2× 136 1.0× 148 1.4× 26 723
Joy Knight United States 8 290 1.1× 181 0.7× 154 1.0× 288 2.0× 247 2.3× 13 633
BM Wilkes United States 6 244 1.0× 186 0.8× 203 1.3× 125 0.9× 51 0.5× 8 410

Countries citing papers authored by Gavin Babbage

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Babbage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gavin Babbage

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

All Works

9 of 9 papers shown
1.
Weston-Bell, Nicola J., Gavin Babbage, Francesco Forconi, Hanneke C. Kluin‐Nelemans, & Surinder S. Sahota. (2011). Hairy Cell Leukaemia Displaying Multiple Surface Immunoglobulin Isotypes Reveal a Functional B-Cell Receptor In Which Isotype Roles Differ. Blood. 118(21). 1567–1567. 1 indexed citations
2.
Savelyeva, Natalia, et al.. (2011). High-affinity memory B cells induced by conjugate vaccines against weak tumor antigens are vulnerable to nonconjugated antigen. Blood. 118(3). 650–659. 7 indexed citations
3.
Sahota, Surinder S., Gavin Babbage, & Nicola J. Weston-Bell. (2009). CD27 in Defining Memory B-Cell Origins in Waldenström's Macroglobulinemia. Clinical Lymphoma & Myeloma. 9(1). 33–35. 12 indexed citations
4.
Babbage, Gavin, Christian H. Ottensmeier, Jeremy P. Blaydes, Freda K. Stevenson, & Surinder S. Sahota. (2006). Immunoglobulin Heavy Chain Locus Events and Expression of Activation-Induced Cytidine Deaminase in Epithelial Breast Cancer Cell Lines. Cancer Research. 66(8). 3996–4000. 116 indexed citations
5.
Sahota, Surinder S., Gavin Babbage, Niklas Zojer, Christian H. Ottensmeier, & Freda K. Stevenson. (2005). Determining Mutational Status of Immunoglobulin V Genes in Chronic Lymphocytic Leukemia: A Useful Prognostic Indicator. PubMed. 115. 129–144. 5 indexed citations
6.
Konduri, Kartik, Surinder S. Sahota, Gavin Babbage, et al.. (2005). Immunoglobulin M Myeloma: Evaluation of Molecular Features and Cytokine Expression. Clinical Lymphoma. 5(4). 285–289. 3 indexed citations
7.
Forconi, Francesco, Surinder S. Sahota, Donatella Raspadori, et al.. (2004). Hairy cell leukemia: at the crossroad of somatic mutation and isotype switch. Blood. 104(10). 3312–3317. 66 indexed citations
8.
Orchard, Jenny, Richard Garand, Zadie Davis, et al.. (2003). A subset of t(11;14) lymphoma with mantle cell features displays mutated IgVH genes and includes patients with good prognosis, nonnodal disease. Blood. 101(12). 4975–4981. 195 indexed citations
9.
Babbage, Gavin, Richard Garand, Nelly Robillard, et al.. (2003). Mantle cell lymphoma with t(11;14) and unmutated or mutated VH genes expresses AID and undergoes isotype switch events. Blood. 103(7). 2795–2798. 28 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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