J Lamb

609 total citations
11 papers, 465 citations indexed

About

J Lamb is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, J Lamb has authored 11 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Pathology and Forensic Medicine and 4 papers in Cancer Research. Recurrent topics in J Lamb's work include Global Cancer Incidence and Screening (7 papers), Breast Lesions and Carcinomas (5 papers) and Colorectal Cancer Screening and Detection (4 papers). J Lamb is often cited by papers focused on Global Cancer Incidence and Screening (7 papers), Breast Lesions and Carcinomas (5 papers) and Colorectal Cancer Screening and Detection (4 papers). J Lamb collaborates with scholars based in United Kingdom, Greece and United States. J Lamb's co-authors include Thomas Anderson, A P M Forrest, A.E. Kirkpatrick, George H. Barrows, J. Michael Dixon, F E Alexander, M M Roberts, Alison Huggins, B.B. Muir and U Chetty and has published in prestigious journals such as The Lancet, Cancer and British Journal of Cancer.

In The Last Decade

J Lamb

10 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Lamb United Kingdom	10	278	260	256	64	63	11	465
P Bravetti Italy	11	204 0.7×	187 0.7×	125 0.5×	62 1.0×	48 0.8×	22	305
D Morrone Italy	12	190 0.7×	141 0.5×	210 0.8×	73 1.1×	118 1.9×	23	420
P. Borgen United States	6	270 1.0×	294 1.1×	134 0.5×	59 0.9×	52 0.8×	8	381
M.H. Galea United Kingdom	11	216 0.8×	218 0.8×	166 0.6×	140 2.2×	28 0.4×	22	443
Valerie L. Staradub United States	10	172 0.6×	233 0.9×	138 0.5×	50 0.8×	26 0.4×	17	367
Nathalie Duchesne Canada	7	180 0.6×	156 0.6×	85 0.3×	53 0.8×	64 1.0×	13	303
G D'Eredità Italy	10	175 0.6×	254 1.0×	169 0.7×	26 0.4×	15 0.2×	21	359
G.C. Wishart United Kingdom	11	190 0.7×	271 1.0×	156 0.6×	40 0.6×	18 0.3×	27	427
D Ryan United Kingdom	6	84 0.3×	125 0.5×	160 0.6×	27 0.4×	28 0.4×	13	294
Stephen DeSantis United States	12	205 0.7×	300 1.2×	211 0.8×	49 0.8×	21 0.3×	14	478

Countries citing papers authored by J Lamb

Since Specialization

Citations

This map shows the geographic impact of 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 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 J Lamb more than expected).

Fields of papers citing papers by J Lamb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Lamb

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

McClean, Sally, et al.. (2004). MISSION: an agent-based system for semantic integration of heterogeneous distributed statistical information sources. 337–340.

2.

Anderson, Thomas, F E Alexander, J Lamb, Andrew R. Smith, & A P M Forrest. (2000). Pathology characteristics that optimize outcome prediction of a breast screening trial. British Journal of Cancer. 83(4). 487–492. 30 indexed citations

3.

Lamb, J. (1992). Breast Cytology in Clinical Practice. British Journal of Cancer. 66(6). 1207–1208. 9 indexed citations

4.

Lamb, J, Peter T. Donnan, Alison Huggins, et al.. (1991). Comparative pathology of breast cancer in a randomised trial of screening. British Journal of Cancer. 64(1). 108–113. 58 indexed citations

5.

Lamb, J & Thomas Anderson. (1989). Influence of cancer histology on the success of fine needle aspiration of the breast.. Journal of Clinical Pathology. 42(7). 733–735. 44 indexed citations

6.

Lamb, J, et al.. (1987). Role of fine needle aspiration cytology in breast cancer screening.. Journal of Clinical Pathology. 40(7). 705–709. 45 indexed citations

7.

Anderson, Thomas, F E Alexander, U Chetty, et al.. (1986). COMPARATIVE PATHOLOGY OF PREVALENT AND INCIDENT CANCERS DETECTED BY BREAST SCREENING. The Lancet. 327(8480). 519–523. 62 indexed citations

8.

Barrows, George H., Thomas Anderson, J Lamb, & J. Michael Dixon. (1986). Fine-needle aspiration of breast cancer: Relationship of clinical factors to cytology results in 689 primary malignancies. Cancer. 58(7). 1493–1498. 89 indexed citations

9.

Roberts, M M, F E Alexander, Thomas Anderson, et al.. (1984). The Edinburgh randomised trial of screening for breast cancer: Description of method. British Journal of Cancer. 50(1). 1–6. 76 indexed citations

10.

Muir, B.B., J Lamb, Thomas Anderson, & A.E. Kirkpatrick. (1983). Microcalcification and its relationship to cancer of the breast: Experience in a screening clinic. Clinical Radiology. 34(2). 193–200. 15 indexed citations

11.

Chetty, U, A.E. Kirkpatrick, Tom Anderson, et al.. (1983). Localization and excision of occult breast lesions. British journal of surgery. 70(10). 607–610. 37 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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