Edmund J. Lamb

14.9k total citations · 1 hit paper
106 papers, 5.0k citations indexed

About

Edmund J. Lamb is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Edmund J. Lamb has authored 106 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Nephrology, 16 papers in Cardiology and Cardiovascular Medicine and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Edmund J. Lamb's work include Dialysis and Renal Disease Management (55 papers), Chronic Kidney Disease and Diabetes (52 papers) and Renal Diseases and Glomerulopathies (19 papers). Edmund J. Lamb is often cited by papers focused on Dialysis and Renal Disease Management (55 papers), Chronic Kidney Disease and Diabetes (52 papers) and Renal Diseases and Glomerulopathies (19 papers). Edmund J. Lamb collaborates with scholars based in United Kingdom, United States and France. Edmund J. Lamb's co-authors include Paul E. Stevens, Michelle C. Webb, Andrew S. Levey, Susan Vickery, Shelagh O’Riordan, Charles Tomson, Michael P. Delaney, Christopher P. Price, Nasir Abbas and Katrin Uhlig and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and Kidney International.

In The Last Decade

Edmund J. Lamb

104 papers receiving 4.8k citations

Hit Papers

An estimated glomerular filtration rate equation for the ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edmund J. Lamb United Kingdom 38 2.8k 1.1k 673 538 488 106 5.0k
Kyu Hun Choi South Korea 36 2.6k 0.9× 522 0.5× 763 1.1× 705 1.3× 468 1.0× 190 4.2k
Nicole M. Isbel Australia 41 2.1k 0.7× 977 0.9× 718 1.1× 1.2k 2.3× 606 1.2× 215 5.8k
Kook‐Hwan Oh South Korea 33 2.6k 0.9× 617 0.5× 698 1.0× 900 1.7× 494 1.0× 331 5.0k
Dong‐Wan Chae South Korea 35 2.0k 0.7× 576 0.5× 514 0.8× 594 1.1× 534 1.1× 179 4.0k
Jenq‐Wen Huang Taiwan 36 1.9k 0.7× 643 0.6× 557 0.8× 692 1.3× 545 1.1× 187 4.2k
Björn O. Eriksen Norway 33 2.3k 0.8× 701 0.6× 415 0.6× 290 0.5× 377 0.8× 99 3.5k
Joel Neugarten United States 40 1.7k 0.6× 653 0.6× 598 0.9× 582 1.1× 332 0.7× 82 4.6k
Gavin J. Becker Australia 37 1.6k 0.6× 588 0.5× 758 1.1× 628 1.2× 380 0.8× 143 4.1k
Jerry Yee United States 39 2.0k 0.7× 851 0.7× 823 1.2× 615 1.1× 599 1.2× 134 4.9k
Sara Samoni Italy 14 2.1k 0.8× 838 0.7× 1.1k 1.6× 780 1.4× 593 1.2× 49 4.3k

Countries citing papers authored by Edmund J. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Edmund J. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edmund J. Lamb. 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 Edmund J. Lamb. The network helps show where Edmund J. Lamb may publish in the future.

Co-authorship network of co-authors of Edmund J. Lamb

This figure shows the co-authorship network connecting the top 25 collaborators of Edmund J. Lamb. A scholar is included among the top collaborators of Edmund J. Lamb 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 Edmund J. Lamb. Edmund J. Lamb 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.
Jones, Malia, Anne Frances Clare Leonard, Alison Bethel, et al.. (2025). Recreational exposure to polluted open water and infection: A systematic review and meta-analysis protocol. Environment International. 200. 109371–109371.
2.
Lamb, Edmund J., et al.. (2023). Exploring pharmacists’ perception of medicines waste and how they can help reduce the burden. International Journal of Pharmacy Practice. 31(Supplement_2). ii30–ii31. 1 indexed citations
3.
Pottel, Hans, Étienne Cavalier, Jonas Björk, et al.. (2022). Standardization of serum creatinine is essential for accurate use of unbiased estimated GFR equations: evidence from three cohorts matched on renal function. Clinical Kidney Journal. 15(12). 2258–2265. 11 indexed citations
4.
Witham, Miles D., Margaret Band, Huey Yi Chong, et al.. (2020). Sodium bicarbonate to improve physical function in patients over 60 years with advanced chronic kidney disease: the BiCARB RCT. Health Technology Assessment. 24(27). 1–90. 15 indexed citations
5.
Björk, Jonas, Natalie Ebert, Marie Evans, et al.. (2017). GFR estimation based on standardized creatinine and cystatin C: a European multicenter analysis in older adults. Clinical Chemistry and Laboratory Medicine (CCLM). 56(3). 422–435. 32 indexed citations
6.
Pottel, Hans, Liesbeth Hoste, Laurence Dubourg, et al.. (2016). An estimated glomerular filtration rate equation for the full age spectrum. Nephrology Dialysis Transplantation. 31(5). 798–806. 322 indexed citations breakdown →
8.
Lamb, Edmund J., et al.. (2015). What is the best glomerular filtration marker to identify people with chronic kidney disease most likely to have poor outcomes?. BMJ. 350(jan12 3). g7667–g7667. 11 indexed citations
9.
Stevens, Paul E., Edmund J. Lamb, & Adeera Levin. (2014). Integrating Guidelines, CKD, Multimorbidity, and Older Adults. American Journal of Kidney Diseases. 65(3). 494–501. 19 indexed citations
10.
O'Riordan, Philly, et al.. (2014). Estimated glomerular filtration rate. BMJ. 348(jan24 1). g264–g264. 32 indexed citations
11.
Price, Christopher P., et al.. (2012). The Diagnostic Accuracy of a Urine Albumin-Creatinine Ratio Point-of-Care Test for Detection of Albuminuria in Primary Care. American Journal of Kidney Diseases. 60(5). 787–794. 30 indexed citations
12.
Landray, Martin, Jonathan Emberson, Lisa Blackwell, et al.. (2010). Prediction of ESRD and Death Among People With CKD: The Chronic Renal Impairment in Birmingham (CRIB) Prospective Cohort Study. American Journal of Kidney Diseases. 56(6). 1082–1094. 127 indexed citations
14.
Lamb, Edmund J.. (2008). United Kingdom guidelines for chronic kidney disease. Scandinavian Journal of Clinical and Laboratory Investigation. 68(sup241). 16–22. 17 indexed citations
15.
Lamb, Edmund J., et al.. (2007). Serum calcium, phosphate, parathyroid hormone, albumin, aluminium and cholesterol achievement on replacement therapy (Chapter 9). Nephrology Dialysis Transplantation. 22(Supplement 7). vii105–vii118. 8 indexed citations
16.
Tomson, Charles, et al.. (2006). Does urinary tract infection cause proteinuria or microalbuminuria? A systematic review. Nephrology Dialysis Transplantation. 21(11). 3031–3037. 64 indexed citations
17.
O’Riordan, Shelagh, David Simpson, Michelle Webb, et al.. (2002). Pharmacology. Age and Ageing. 31(suppl 1). 38–38.
18.
Lamb, Edmund J., R M Heddle, & Andy Ellis. (1999). Spuriously elevated plasma calcitonin in a patient with a thyroid nodule not associated with medullary thyroid carcinoma. Postgraduate Medical Journal. 75(883). 289–290. 4 indexed citations
19.
Lamb, Edmund J., Timothy R Venton, W. R. Cattell, & Anne Dawnay. (1993). Serum Glycated Albumin and Fructosamine in Renal Dialysis Patients. ˜The œNephron journals/Nephron journals. 64(1). 82–88. 27 indexed citations
20.
Landy, M. & Edmund J. Lamb. (1953). Estimation of Vi Antibody Employing Erythrocytes Treated with Purified Vi Antigen.. Experimental Biology and Medicine. 82(4). 593–598. 73 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026