Gurmit Singh

193 papers receiving 6.5k citations

Peers

Gurmit Singh
Comparison fields: 5 of 142
  • Cancer Research 1.4k
  • Pulmonary and Respiratory Medicine 1.8k
  • Oncology 1.5k
  • Molecular Biology 3.2k
  • Biological Psychiatry 77
Replace Richard Béliveau with:
Richard Béliveau Canada
Futoshi Okada Japan
Kathleen L. Gabrielson United States
Marina Ziche Italy
Ali S. Arbab United States
Piotr Dzięgiel Poland
Daohong Zhou United States
Frederick E. Domann United States
Richard D. Minshall United States
Daniel T. Connolly United States
Gurmit Singh relative to Richard Béliveau Canada Richard Béliveau's profile →
Citations per field
00.5×2.6×
Richard Béliveau · 1×
Citations per year

Countries citing papers authored by Gurmit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Gurmit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013231
2 2015212
3 1990174
4 2010173
5 2013169
6 2001132
7 1997130
8 2000129
9 2012121
10 2012111
11 2004106
12
Doxycycline decreases tumor burden in a bone metastasis model of human breast cancer.
2002103
13 201598
14 199691
15 201186
16 200186
17 200385
18
Accumulation of human promyelocytic leukemic (HL-60) cells at two energetic cell cycle checkpoints.
199575
19 201975
20 200974

About Gurmit Singh

Gurmit Singh is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 197 papers that have together received 6.7k indexed citations. Recurring topics across this work include Bone health and treatments (34 papers), Cancer, Hypoxia, and Metabolism (30 papers), Photodynamic Therapy Research Studies (26 papers), Pain Mechanisms and Treatments (20 papers), Cancer, Stress, Anesthesia, and Immune Response (19 papers), Nanoplatforms for cancer theranostics (18 papers), Protease and Inhibitor Mechanisms (15 papers) and Mitochondrial Function and Pathology (12 papers). The work is most often cited by research in Cancer Research (1.4k citations), Pulmonary and Respiratory Medicine (1.8k citations), Oncology (1.5k citations), Molecular Biology (3.2k citations) and Biological Psychiatry (77 citations). Gurmit Singh has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Katja Linher‐Melville, Theodoros Tsakiridis, Toran Sanli, Eric Seidlitz, Robert W. Cowan, Myrna Espiritu, Brian C. Wilson, Andrew J. Rainbow, Michael S. Patterson and Jonathan S. Dysart. Their work appears in journals such as Photochemistry and Photobiology, Clinical & Experimental Metastasis, Biochemical and Biophysical Research Communications, Molecular Pain and Bone.

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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