Malcolm Lim

525 citations
22 papers · 376 · h-index 11

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Lung Cancer Research Studies
    • Cancer Cells and Metastasis

Papers in

Malcolm Lim

22 papers receiving 373 citations

Peers

Malcolm Lim
Comparison fields: 5 of 53
  • Cancer Research 80
  • Oncology 140
  • Pulmonary and Respiratory Medicine 98
  • Genetics 31
  • Pathology and Forensic Medicine 44
Replace Colleen Niland with:
Colleen Niland Australia
Michelle Shen United States
Fenglin Zang China
Anna Laura Aloisi Italy
Lori Cuyugan United States
Edoardo Del Poggetto United States
Kasia Weina Germany
Yiannis Drosos United States
Petra U. Prinz Germany
Lillian M. Guenther United States
Malcolm Lim relative to Colleen Niland Australia Colleen Niland's profile →
Citations per field
00.5×1.5×2.2×
Colleen Niland · 1×
Citations per year

Countries citing papers authored by Malcolm Lim

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201871
2 201753
3 202035
4 201926
5 201721
6 202321
7 201921
8 202019
9 201317
10 201415
11 202314
12 202111
13 202411
14 202210
15 20209
16 20228
17 20224
18 20154
19 20173
20 20251

About Malcolm Lim

Malcolm Lim is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Neurology, having authored 22 papers that have together received 376 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (9 papers), Glioma Diagnosis and Treatment (5 papers), Lung Cancer Research Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Neuroblastoma Research and Treatments (3 papers), Cancer-related Molecular Pathways (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Cancer Research (80 citations), Oncology (140 citations), Pulmonary and Respiratory Medicine (98 citations), Genetics (31 citations) and Pathology and Forensic Medicine (44 citations). Malcolm Lim has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Jodi M. Saunus, Sunil R. Lakhani, Amy E. McCart Reed, Sunil R. Lakhani, Priyakshi Kalita‐de Croft, Lynne Reid, Kum Kum Khanna, Kristofer J. Thurecht, EDUARDO C. SALIDO and Raimundo Freire. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Visualized Experiments, npj Breast Cancer, Journal of Clinical Sleep Medicine and Oncogene.

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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