Gerald Lim

22 papers receiving 402 citations

Peers

Gerald Lim
Comparison fields: 5 of 82
  • Radiation 77
  • Pulmonary and Respiratory Medicine 172
  • Pharmaceutical Science 31
  • Genetics 48
  • Cancer Research 62
Replace B. E. Lambert with:
B. E. Lambert United Kingdom
V. Jacob Germany
Federica Gherardi Italy
Kensuke Otsuka Japan
Eileen W. Bradley United States
Vildan Kaya Türkiye
Patrick McDermott United States
Ariane Lapierre France
Hatim Fakir Canada
G.K. Rath India
Gerald Lim relative to B. E. Lambert United Kingdom B. E. Lambert's profile →
Citations per field
00.5×11.6×
B. E. Lambert · 1×
Citations per year

Countries citing papers authored by Gerald Lim

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202182
2 201154
3 199949
4 200746
5 201331
6 200423
7 200422
8 200120
9 201816
10 202213
11 202111
12 201710
13 202310
14 20208
15 20166
16 20163
17 20143
18 20253
19 20252
20 20141

About Gerald Lim

Gerald Lim is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Genetics and Radiation, having authored 24 papers that have together received 415 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (5 papers), Meningioma and schwannoma management (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Advanced Radiotherapy Techniques (4 papers), Glioma Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers), Renal cell carcinoma treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Radiation (77 citations), Pulmonary and Respiratory Medicine (172 citations), Pharmaceutical Science (31 citations), Genetics (48 citations) and Cancer Research (62 citations). Gerald Lim has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Reza Khosravan, Amir H. Shojaei, Mansoor A. Khan, Jeremy A. Squire, Ben Beheshti, Jane Bayani, Bisera Vukovic, Maria Zieleńska, A. Sun and D Moseley. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cytogenetic and Genome Research, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Journal of Thoracic Oncology and American Journal of Industrial Medicine.

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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