Susan J. Connor

5.3k total citations · 2 hit papers
105 papers, 2.7k citations indexed

About

Susan J. Connor is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Susan J. Connor has authored 105 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Genetics, 43 papers in Epidemiology and 27 papers in Surgery. Recurrent topics in Susan J. Connor's work include Inflammatory Bowel Disease (52 papers), Microscopic Colitis (35 papers) and Helicobacter pylori-related gastroenterology studies (12 papers). Susan J. Connor is often cited by papers focused on Inflammatory Bowel Disease (52 papers), Microscopic Colitis (35 papers) and Helicobacter pylori-related gastroenterology studies (12 papers). Susan J. Connor collaborates with scholars based in Australia, United Kingdom and United States. Susan J. Connor's co-authors include Rupert W. Leong, Watson Ng, Alissa Walsh, Douglas Samuel, Sudarshan Paramsothy, Nadeem O. Kaakoush, Hazel M. Mitchell, Johan van den Bogaerde, Enmoore Lin and Michael A. Kamm and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Susan J. Connor

95 papers receiving 2.6k citations

Hit Papers

Multidonor intensive faecal microbiota transplantation fo... 2017 2026 2020 2023 2017 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan J. Connor Australia 23 1.2k 967 788 729 562 105 2.7k
Vineet Ahuja India 30 825 0.7× 660 0.7× 1.1k 1.4× 771 1.1× 442 0.8× 132 2.9k
Sudarshan Paramsothy Australia 22 2.0k 1.7× 1.7k 1.7× 858 1.1× 958 1.3× 783 1.4× 65 3.2k
David L. Suskind United States 28 782 0.7× 425 0.4× 868 1.1× 627 0.9× 479 0.9× 72 2.2k
Alissa Walsh United Kingdom 21 1.2k 1.0× 987 1.0× 1.8k 2.3× 1.7k 2.3× 669 1.2× 66 3.4k
Sandra C. Kim United States 22 931 0.8× 336 0.3× 1.2k 1.5× 771 1.1× 229 0.4× 56 2.8k
Raja Affendi Raja Ali Malaysia 23 1.2k 1.0× 236 0.2× 618 0.8× 606 0.8× 367 0.7× 95 2.7k
Ja Seol Koo South Korea 19 840 0.7× 275 0.3× 334 0.4× 386 0.5× 296 0.5× 120 2.2k
Eun Soo Kim South Korea 29 648 0.6× 193 0.2× 627 0.8× 729 1.0× 424 0.8× 170 3.0k
Ajit Sood India 35 942 0.8× 694 0.7× 1.8k 2.3× 2.3k 3.1× 838 1.5× 216 4.5k
Andrew Ippoliti United States 27 405 0.3× 282 0.3× 1.2k 1.5× 1.0k 1.4× 475 0.8× 69 2.3k

Countries citing papers authored by Susan J. Connor

Since Specialization
Citations

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

Fields of papers citing papers by Susan J. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan J. Connor

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

All Works

20 of 20 papers shown
1.
Ghaly, Simon, et al.. (2025). Stomal calprotectin as a biomarker for assessing Crohn disease activity in patients with stomas. Internal Medicine Journal. 55(3). 461–466. 1 indexed citations
2.
Su, Wen‐Yu, Wayne H. Wilson, Weng Ng, et al.. (2025). DOP106 Geographic disparities in Healthcare Utilisation in people with inflammatory bowel disease, Crohn’s Colitis Cure Data Insights Program. Journal of Crohn s and Colitis. 19(Supplement_1). i277–i278.
4.
Wu, Nan, Steven T. Leach, Ramesh Paramsothy, et al.. (2024). Dietary Emulsifier Exposure in People With Inflammatory Bowel Disease Compared With Healthy Controls: Is There a Cause for Concern?. Inflammatory Bowel Diseases. 30(8). 1241–1250. 12 indexed citations
6.
Moore, Alison, et al.. (2023). Health Communication Research Informs Inflammatory Bowel Disease Practice and Research: A Narrative Review. Crohn s & Colitis 360. 5(3). otad021–otad021. 4 indexed citations
8.
Vernon‐Roberts, Angharad, Shoma Dutt, Edward Giles, et al.. (2023). Co-design and Consultation Ensure Consumer Needs Are Met: Building an eHealth Platform for Children with Inflammatory Bowel Disease. Digestive Diseases and Sciences. 68(12). 4368–4380. 1 indexed citations
9.
Lukin, Annabelle, Alison Moore, Watson Ng, et al.. (2023). Adolescents and young adults communicating with gastroenterologists: variation in inflammatory bowel disease clinical communication. International Journal of Adolescent Medicine and Health. 35(4). 347–361. 3 indexed citations
10.
Mortlock, Sally, Anton Lord, Grant W. Montgomery, et al.. (2022). An Extremes of Phenotype Approach Confirms Significant Genetic Heterogeneity in Patients with Ulcerative Colitis. Journal of Crohn s and Colitis. 17(2). 277–288. 5 indexed citations
12.
Girgis, Afaf, et al.. (2020). Development and Feasibility of a Web-Based Decision Aid for Patients With Ulcerative Colitis: Qualitative Pilot Study. Journal of Medical Internet Research. 23(2). e15946–e15946. 1 indexed citations
13.
Moore, Alison, et al.. (2020). Clinical communication in inflammatory bowel disease: a systematic literature review protocol. BMJ Open. 10(11). e039503–e039503. 6 indexed citations
14.
Gardiner, F, Lara Bishop, Kathryn McMahon, et al.. (2020). Aeromedical retrievals for gastrointestinal disorders in rural and remote Australia: the need for improved access to specialist advice. Internal Medicine Journal. 50(5). 619–623. 1 indexed citations
15.
Kim, Andrew, Afaf Girgis, Joseph Descallar, et al.. (2019). A Web-Based Decision Aid (myAID) to Enhance Quality of Life, Empowerment, Decision Making, and Disease Control for Patients With Ulcerative Colitis: Protocol for a Cluster Randomized Controlled Trial. SHILAP Revista de lepidopterología. 9(7). e15994–e15994. 7 indexed citations
16.
Liu, Fang, Rena Ma, Chin Yen Tay, et al.. (2018). Genomic analysis of oral Campylobacter concisus strains identified a potential bacterial molecular marker associated with active Crohn’s disease. Emerging Microbes & Infections. 7(1). 1–14. 28 indexed citations
17.
Chen, Guo‐Bo, Sang Lee, Grant W. Montgomery, et al.. (2017). Performance of risk prediction for inflammatory bowel disease based on genotyping platform and genomic risk score method. BMC Medical Genetics. 18(1). 94–94. 28 indexed citations
18.
Julsgaard, Mette, Lisbet Ambrosius Christensen, Peter G. Gibson, et al.. (2014). Adalimumab and Infliximab levels in neonates correlate with duration of treatment in pregnancy (ERA study). United European Gastroenterology Journal. 29. 117–118. 1 indexed citations
19.
Koo, Jenn Hian, et al.. (2008). Improved Survival in Young Women With Colorectal Cancer. The American Journal of Gastroenterology. 103(6). 1488–1495. 73 indexed citations
20.
Grimm, Michael, Susan J. Connor, Yingying Le, et al.. (2003). Cutting Edge: Vasoactive Intestinal Peptide Acts as a Potent Suppressor of Inflammation In Vivo by Trans -Deactivating Chemokine Receptors. The Journal of Immunology. 171(10). 4990–4994. 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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