Lawrence MJ Best

43 total papers · 1.1k total citations
28 papers, 709 citations indexed

About

Lawrence MJ Best is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lawrence MJ Best has authored 28 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Epidemiology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lawrence MJ Best's work include Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (7 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Lawrence MJ Best is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (7 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Lawrence MJ Best collaborates with scholars based in United Kingdom, Russia and Australia. Lawrence MJ Best's co-authors include Kurinchi Selvan Gurusamy, Müntzer Mughal, Brian R Davidson, Akash Gandhi, Emmanuel Tsochatzis, Suzanne C Freeman, Alex J. Sutton, Mohammad Yaghoobi, Benjamin E. Low and Toby Richards and has published in prestigious journals such as PLoS ONE, Cochrane Database of Systematic Reviews and Pain.

In The Last Decade

Lawrence MJ Best

25 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Lawrence MJ Best 328 227 189 150 86 28 709
J Armengol 390 1.2× 107 0.5× 323 1.7× 241 1.6× 248 2.9× 28 788
Michael D. Katz 405 1.2× 279 1.2× 161 0.9× 188 1.3× 47 0.5× 34 876
Judith B. Weaver 216 0.7× 153 0.7× 99 0.5× 43 0.3× 12 0.1× 31 796
A. Kashfi 506 1.5× 240 1.1× 40 0.2× 174 1.2× 46 0.5× 20 676
Warren C. Widrich 436 1.3× 224 1.0× 277 1.5× 346 2.3× 90 1.0× 36 876
G T Sunderland 628 1.9× 249 1.1× 37 0.2× 21 0.1× 53 0.6× 25 786
Heejin Yoo 166 0.5× 116 0.5× 153 0.8× 42 0.3× 28 0.3× 53 632
Te‐Fa Chiu 262 0.8× 84 0.4× 111 0.6× 49 0.3× 124 1.4× 51 729
Madison C. Cuffy 438 1.3× 105 0.5× 224 1.2× 336 2.2× 18 0.2× 41 893
Ravinder Mohan Pandey 163 0.5× 85 0.4× 141 0.7× 27 0.2× 32 0.4× 33 724

Countries citing papers authored by Lawrence MJ Best

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence MJ Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence MJ Best. 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 Lawrence MJ Best. The network helps show where Lawrence MJ Best may publish in the future.

Co-authorship network of co-authors of Lawrence MJ Best

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence MJ Best. A scholar is included among the top collaborators of Lawrence MJ Best 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 Lawrence MJ Best. Lawrence MJ Best 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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