Alex J Chamberlain

80 total papers · 1.3k total citations
38 papers, 760 citations indexed

About

Alex J Chamberlain is a scholar working on Oncology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Alex J Chamberlain has authored 38 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Epidemiology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Alex J Chamberlain's work include Cutaneous Melanoma Detection and Management (16 papers), Nonmelanoma Skin Cancer Studies (6 papers) and Autoimmune Bullous Skin Diseases (6 papers). Alex J Chamberlain is often cited by papers focused on Cutaneous Melanoma Detection and Management (16 papers), Nonmelanoma Skin Cancer Studies (6 papers) and Autoimmune Bullous Skin Diseases (6 papers). Alex J Chamberlain collaborates with scholars based in Australia, United Kingdom and United States. Alex J Chamberlain's co-authors include John W. Kelly, Lin Fritschi, N. P. J. Walker, John P. Dowling, Graham G. Giles, R.P.R. DAWBER, Martin Haskett, Yan Pan, Michael Bailey and Alvin H Chong and has published in prestigious journals such as New England Journal of Medicine, Gut and Journal of the American Academy of Dermatology.

In The Last Decade

Alex J Chamberlain

37 papers receiving 723 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alex J Chamberlain	436	299	291	114	89	38	760
Hans Peter Bertsch	558 1.3×	325 1.1×	320 1.1×	147 1.3×	130 1.5×	55	873
M. Keefe	202 0.5×	196 0.7×	227 0.8×	75 0.7×	117 1.3×	33	675
S Hödl	275 0.6×	193 0.6×	389 1.3×	82 0.7×	163 1.8×	31	645
J M Theaker	419 1.0×	256 0.9×	175 0.6×	205 1.8×	66 0.7×	28	776
Tammie Ferringer	252 0.6×	168 0.6×	242 0.8×	96 0.8×	117 1.3×	48	648
Stephen C. Somach	313 0.7×	165 0.6×	203 0.7×	72 0.6×	127 1.4×	36	635
Gabriel Salerni	647 1.5×	332 1.1×	329 1.1×	98 0.9×	37 0.4×	39	812
Vitaliano Silipo	443 1.0×	282 0.9×	270 0.9×	220 1.9×	51 0.6×	30	739
Wolfgang Ch. Marsch	356 0.8×	124 0.4×	255 0.9×	246 2.2×	93 1.0×	46	877
Sabela Paradela	332 0.8×	199 0.7×	257 0.9×	101 0.9×	127 1.4×	57	754

Countries citing papers authored by Alex J Chamberlain

Since Specialization

Citations

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

Fields of papers citing papers by Alex J Chamberlain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex J Chamberlain

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

All Works

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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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