Christopher Limb

17 papers receiving 273 citations

Peers

Christopher Limb
Comparison fields: 5 of 80
  • Family Practice 9
  • Research and Theory 4
  • Statistics, Probability and Uncertainty 33
  • Health Informatics 5
  • Cancer Research 35
Replace Helen Pearson with:
Helen Pearson United Kingdom
Aaron Knox Canada
Rieky E. G. Dikmans Netherlands
Austin D. Chen United States
Victor Kairouz United States
Roghayeh Ershad Sarabi Iran
Cristina Patru Romania
Alexandra Bucknor United States
Niki M. Medendorp Netherlands
M. Felix Freshwater United States
Christopher Limb relative to Helen Pearson United Kingdom Helen Pearson's profile →
Citations per field
00.5×10×16.5×
Helen Pearson · 1×
Citations per year

Countries citing papers authored by Christopher Limb

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Limb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Limb. 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 Christopher Limb. The network helps show where Christopher Limb may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Limb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Limb Line = papers co-authored together Christopher Limb links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201791
2 201660
3 202038
4 202022
5 201714
6 201713
7 20156
8 20166
9 20176
10 20254
11 20164
12 20173
13 20183
14 20183
15 20202
16 20211
17 20151
18 20230

About Christopher Limb

Christopher Limb is a scholar working on Surgery, Oncology, Statistics, Probability and Uncertainty, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 277 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Minimally Invasive Surgical Techniques (2 papers), Colorectal Cancer Surgical Treatments (2 papers), MicroRNA in disease regulation (2 papers), Surgical Simulation and Training (1 paper), Sinusitis and nasal conditions (1 paper) and Intestinal and Peritoneal Adhesions (1 paper). The work is most often cited by research in Family Practice (9 citations), Research and Theory (4 citations), Statistics, Probability and Uncertainty (33 citations), Health Informatics (5 citations) and Cancer Research (35 citations). Christopher Limb has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Buket Gundogan, Daniyal J. Jafree, Katharine Whitehurst, Kiron Koshy, Alexander J. Fowler, Riaz Agha, Adam E. Frampton, Harkiran Sagoo, Daniel Liu and Jonathan Krell. Their work appears in journals such as International Journal of Surgery, Cancers, The Journal of Clinical Endocrinology & Metabolism, Annals of Surgery and Frontiers in Surgery.

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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