Daniel L. H. Baird

17 total papers · 400 total citations
14 papers, 248 citations indexed

About

Daniel L. H. Baird is a scholar working on Surgery, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel L. H. Baird has authored 14 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 8 papers in Oncology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel L. H. Baird's work include Colorectal Cancer Surgical Treatments (7 papers), Colorectal and Anal Carcinomas (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Daniel L. H. Baird is often cited by papers focused on Colorectal Cancer Surgical Treatments (7 papers), Colorectal and Anal Carcinomas (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Daniel L. H. Baird collaborates with scholars based in United Kingdom, United States and Israel. Daniel L. H. Baird's co-authors include Christos Kontovounisios, Paris Tekkis, Constantinos Simillis, Shahnawaz Rasheed, Gianluca Pellino, Stella Nikolaou, Gina Brown, Nikhil Pawa, Oliver Warren and Jason Smith and has published in prestigious journals such as Annals of Surgery, BMJ and Diseases of the Colon & Rectum.

In The Last Decade

Daniel L. H. Baird

14 papers receiving 243 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel L. H. Baird 164 120 79 26 26 14 248
Muhammad R. Khammash 165 1.0× 41 0.3× 102 1.3× 34 1.3× 30 1.2× 15 310
G. S. Duthie 250 1.5× 131 1.1× 60 0.8× 48 1.8× 11 0.4× 10 297
Sally Hallam 247 1.5× 150 1.3× 58 0.7× 42 1.6× 10 0.4× 13 297
Daniel J. Kacey 236 1.4× 39 0.3× 48 0.6× 95 3.7× 12 0.5× 14 328
Alessia Corsi 233 1.4× 101 0.8× 73 0.9× 94 3.6× 12 0.5× 22 285
Hodgson Wj 225 1.4× 95 0.8× 18 0.2× 64 2.5× 23 0.9× 15 324
Francisco Blanco‐Antona 156 1.0× 112 0.9× 29 0.4× 37 1.4× 21 0.8× 16 219
Mate Majerović 215 1.3× 18 0.1× 108 1.4× 27 1.0× 11 0.4× 22 294
Kirsten Meurer 249 1.5× 114 0.9× 37 0.5× 94 3.6× 38 1.5× 14 330
Cyril Prieur 72 0.4× 25 0.2× 94 1.2× 18 0.7× 22 0.8× 20 221

Countries citing papers authored by Daniel L. H. Baird

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. H. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. H. Baird. 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 Daniel L. H. Baird. The network helps show where Daniel L. H. Baird may publish in the future.

Co-authorship network of co-authors of Daniel L. H. Baird

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. H. Baird. A scholar is included among the top collaborators of Daniel L. H. Baird 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 Daniel L. H. Baird. Daniel L. H. Baird 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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