Stephen Harding

2.4k total citations
75 papers, 1.2k citations indexed

About

Stephen Harding is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Stephen Harding has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 39 papers in Molecular Biology and 27 papers in Genetics. Recurrent topics in Stephen Harding's work include Multiple Myeloma Research and Treatments (30 papers), Glycosylation and Glycoproteins Research (25 papers) and Chronic Lymphocytic Leukemia Research (22 papers). Stephen Harding is often cited by papers focused on Multiple Myeloma Research and Treatments (30 papers), Glycosylation and Glycoproteins Research (25 papers) and Chronic Lymphocytic Leukemia Research (22 papers). Stephen Harding collaborates with scholars based in United Kingdom, United States and France. Stephen Harding's co-authors include A.R. Bradwell, Colin A. Hutchison, Paul Cockwell, Graham P. Mead, John Townsend, Kolitha Basnayake, Antony R. Parker, Supratik Basu, Mark T. Drayson and Melpomeni Kountouri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Stephen Harding

69 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
Stephen Harding United Kingdom 16 642 590 287 217 216 75 1.2k
Hila Magen Israel 16 539 0.8× 425 0.7× 135 0.5× 112 0.5× 332 1.5× 71 1.0k
M. A. Boogaerts Belgium 20 266 0.4× 823 1.4× 262 0.9× 69 0.3× 242 1.1× 29 1.2k
Sanna Siitonen Finland 23 427 0.7× 226 0.4× 103 0.4× 33 0.2× 354 1.6× 51 1.4k
Robert Delage Canada 18 141 0.2× 400 0.7× 305 1.1× 34 0.2× 178 0.8× 58 957
Abraham Kornberg Israel 17 189 0.3× 346 0.6× 106 0.4× 44 0.2× 80 0.4× 54 925
G. Brehm Germany 13 144 0.2× 1.1k 1.9× 266 0.9× 80 0.4× 478 2.2× 23 1.9k
Peter A.W. te Boekhorst Netherlands 21 221 0.3× 582 1.0× 245 0.9× 18 0.1× 263 1.2× 50 1.1k
A Darnell Spain 15 421 0.7× 240 0.4× 78 0.3× 185 0.9× 120 0.6× 43 976
Riccardo Ghio Italy 20 226 0.4× 630 1.1× 286 1.0× 17 0.1× 273 1.3× 93 1.2k
Takahito Moriyama Japan 23 230 0.4× 272 0.5× 169 0.6× 1.2k 5.5× 116 0.5× 102 1.6k

Countries citing papers authored by Stephen Harding

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Harding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Harding

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Harding. A scholar is included among the top collaborators of Stephen Harding 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 Stephen Harding. Stephen Harding 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.
Andorf, Carson M., John L. Portwood, Stephen Harding, et al.. (2024). PanEffect: a pan-genome visualization tool for variant effects in maize. Bioinformatics. 40(2). 3 indexed citations
2.
Barnidge, David R., et al.. (2024). Endogenous monoclonal immunoglobulins analyzed using the EXENT® solution and LC-MS. SHILAP Revista de lepidopterología. 32. 31–40. 6 indexed citations
3.
Fenton, Anthony, Rajkumar Chinnadurai, Indranil Dasgupta, et al.. (2020). Association between non-malignant monoclonal gammopathy and adverse outcomes in chronic kidney disease: A cohort study. PLoS Medicine. 17(2). e1003050–e1003050. 3 indexed citations
4.
Parker, Antony R., Miguel A. Park, Stephen Harding, & Roshini S. Abraham. (2019). The total IgM, IgA and IgG antibody responses to pneumococcal polysaccharide vaccination (Pneumovax®23) in a healthy adult population and patients diagnosed with primary immunodeficiencies. Vaccine. 37(10). 1350–1355. 15 indexed citations
5.
James, Katherine, Antony R. Parker, Stephen Harding, et al.. (2018). B-cell activity markers are associated with different disease activity domains in primary Sjögren’s syndrome. Lara D. Veeken. 57(7). 1222–1227. 20 indexed citations
6.
Parker, Antony R., Caroline Bradley, Stephen Harding, et al.. (2018). Measurement and interpretation of Salmonella typhi Vi IgG antibodies for the assessment of adaptive immunity. Journal of Immunological Methods. 459. 1–10. 17 indexed citations
7.
Parker, Antony R., et al.. (2016). Concentration of anti-pneumococcal capsular polysaccharide IgM, IgG and IgA specific antibodies in adult blood donors. Practical Laboratory Medicine. 5. 1–5. 14 indexed citations
8.
Pratt, Guy, Peter Thomas, D. Alexander, et al.. (2016). Evaluation of serum markers in the LRF CLL4 trial: β2-microglobulin but not serum free light chains, is an independent marker of overall survival. Leukemia & lymphoma. 57(10). 2342–2350. 4 indexed citations
9.
Parker, Antony R., et al.. (2016). Purification and characterisation of anti-pneumococcal capsular polysaccharide IgG immunoglobulins. Clinical Biochemistry. 50(1-2). 80–83. 1 indexed citations
10.
Assi, Lakhvir K., et al.. (2012). Elevated, combined serum free light chain levels and increased mortality: a 5-year follow-up, UK study. Journal of Clinical Pathology. 65(11). 1036–1042. 35 indexed citations
11.
Furtado, Michelle, et al.. (2012). Abnormal serum free light chain ratio predicts poor overall survival in mantle cell lymphoma. British Journal of Haematology. 160(1). 63–69. 7 indexed citations
12.
Bradwell, A.R., Stephen Harding, Claire Mathiot, et al.. (2012). Prognostic utility of intact immunoglobulin Ig′κ/Ig′λ ratios in multiple myeloma patients. Leukemia. 27(1). 202–207. 50 indexed citations
13.
14.
Richter, Alex, Stephen Harding, Aarnoud Huissoon, Mark T. Drayson, & Guy Pratt. (2010). Multiple Myeloma with Monoclonal Free IgG3 Heavy Chains and Free Kappa Light Chains. Acta Haematologica. 123(3). 158–161. 4 indexed citations
15.
Harding, Stephen, Helen J. Lachmann, JD Gillmore, et al.. (2010). Serum immunoglobulin heavy/light chain ratios (HevyLite) in patients with systemic AL amyloidosis. Clinical Genetics. 84(2). 175–82. 2 indexed citations
16.
Popat, Rakesh, Heather Oakervee, Catherine Williams, et al.. (2009). Bortezomib, low‐dose intravenous melphalan, and dexamethasone for patients with relapsed multiple myeloma. British Journal of Haematology. 144(6). 887–894. 37 indexed citations
17.
Hutchison, Colin A., Stephen Harding, Graham P. Mead, et al.. (2008). Quantitative Assessment of Serum and Urinary Polyclonal Free Light Chains in Patients with Chronic Kidney Disease. Clinical Journal of the American Society of Nephrology. 3(6). 1684–1690. 263 indexed citations
18.
Hutchison, Colin A., Tim Plant, Mark T. Drayson, et al.. (2008). Serum free light chain measurement aids the diagnosis of myeloma in patients with severe renal failure. BMC Nephrology. 9(1). 11–11. 140 indexed citations
19.
Bedford, Colin T., et al.. (2006). Glycomics: From glycobiology to diagnostics and therapeutics.. PubMed. 19(3). 163–72. 1 indexed citations
20.
Harding, Stephen, et al.. (2002). Water Savings in Irrigation Distribution Systems. 423. 3 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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