David J. Gracie

119 total papers · 3.9k total citations
63 papers, 2.7k citations indexed

About

David J. Gracie is a scholar working on Epidemiology, Genetics and Gastroenterology. According to data from OpenAlex, David J. Gracie has authored 63 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 38 papers in Genetics and 35 papers in Gastroenterology. Recurrent topics in David J. Gracie's work include Microscopic Colitis (47 papers), Inflammatory Bowel Disease (38 papers) and Gastrointestinal motility and disorders (33 papers). David J. Gracie is often cited by papers focused on Microscopic Colitis (47 papers), Inflammatory Bowel Disease (38 papers) and Gastrointestinal motility and disorders (33 papers). David J. Gracie collaborates with scholars based in United Kingdom, Italy and Canada. David J. Gracie's co-authors include Alexander C. Ford, PJ Hamlin, P. J. Hamlin, Ruchit Sood, Keeley M. Fairbrass, Yannick Derwa, Christopher J. Black, Elspeth Guthrie, N. To and Saqib Mumtaz and has published in prestigious journals such as Gastroenterology, Gut and The American Journal of Gastroenterology.

In The Last Decade

David J. Gracie

60 papers receiving 2.6k citations

Hit Papers

Bi-directionality of Brai... 2018 2026 2020 2023 2018 2019 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
David J. Gracie 1.3k 1.1k 1.1k 613 499 63 2.7k
Gabriele Moser 1.4k 1.1× 1.2k 1.1× 671 0.6× 720 1.2× 190 0.4× 84 2.8k
Brigida Barberio 772 0.6× 618 0.6× 1.1k 1.1× 880 1.4× 420 0.8× 111 2.7k
Clemens Dejaco 1.2k 1.0× 1.0k 0.9× 516 0.5× 832 1.4× 400 0.8× 84 2.8k
Norine Miller 1.6k 1.2× 1.3k 1.2× 506 0.5× 486 0.8× 237 0.5× 32 2.7k
Maria Lia Scribano 1.2k 1.0× 1.0k 0.9× 329 0.3× 491 0.8× 320 0.6× 54 2.7k
Hans Strid 1.4k 1.1× 1.1k 1.0× 1.2k 1.1× 947 1.5× 602 1.2× 93 3.2k
Cosimo Prantera 2.6k 2.1× 2.1k 1.9× 539 0.5× 1.1k 1.8× 595 1.2× 83 4.4k
Patricia Rawsthorne 2.7k 2.2× 2.3k 2.1× 552 0.5× 1.1k 1.8× 257 0.5× 44 4.5k
Esther Nova 360 0.3× 688 0.6× 546 0.5× 426 0.7× 935 1.9× 99 3.5k
Arnaldo Andreoli 800 0.6× 783 0.7× 265 0.3× 439 0.7× 177 0.4× 53 2.9k

Countries citing papers authored by David J. Gracie

Since Specialization
Citations

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

Fields of papers citing papers by David J. Gracie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Gracie

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Gracie. A scholar is included among the top collaborators of David J. Gracie 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 David J. Gracie. David J. Gracie 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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