Christopher S. Lim

1.3k citations
33 papers · 892 indexed · h-index 15

Impact in

Papers in

Christopher S. Lim

31 papers receiving 888 citations

Peers

Christopher S. Lim
Comparison fields: 5 of 56
  • Hepatology 194
  • Radiology, Nuclear Medicine and Imaging 429
  • Pulmonary and Respiratory Medicine 538
  • Rheumatology 180
  • Epidemiology 162
Replace Beniamino Corcioni with:
Beniamino Corcioni Italy
Kyung Ah Kim South Korea
Thaís Caldara Mussi Brazil
Gerry Lowe United Kingdom
Mounes Aliyari Ghasabeh United States
A. Resten France
Julie Y. An United States
Alexander Baur Germany
Amirkasra Mojtahed United States
Donald S. Brabbins United States
Christopher S. Lim relative to Beniamino Corcioni Italy Beniamino Corcioni's profile →
Citations per field
00.5×4.1×
Beniamino Corcioni · 1×
Citations per year

Countries citing papers authored by Christopher S. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Christopher S. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Christopher S. Lim, 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 S. Lim Line = papers co-authored together Christopher S. Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20231
4 20211
5 202110
6 20212
7 20211
8 202126
9 202013
10 202046
11 201925
12 201850
13 20182
14 2018229
15 201762
16 201564
17 201510
18 20155
19 201552
20 201511

About Christopher S. Lim

Christopher S. Lim is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 892 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (18 papers), Prostate Cancer Treatment and Research (14 papers), Urologic and reproductive health conditions (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (7 papers), Renal cell carcinoma treatment (3 papers), Renal and related cancers (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Hepatology (194 citations), Radiology, Nuclear Medicine and Imaging (429 citations), Pulmonary and Respiratory Medicine (538 citations), Rheumatology (180 citations) and Epidemiology (162 citations). Christopher S. Lim has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Nicola Schieda, Matthew D. F. McInnes, Trevor A. Flood, Christian B. van der Pol, Wael Shabana, Satheesh Krishna, Trevor A. McGrath, Andreu F. Costa, Amit G. Singal and Kathryn J. Fowler. Their work appears in journals such as American Journal of Roentgenology, Journal of Magnetic Resonance Imaging, Abdominal Radiology, Radiologic Clinics of North America and Insights into Imaging.

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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