Julian J. Lum

18.6k total citations · 5 hit papers
91 papers, 9.9k citations indexed

About

Julian J. Lum is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Julian J. Lum has authored 91 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 23 papers in Immunology and 20 papers in Epidemiology. Recurrent topics in Julian J. Lum's work include Spectroscopy Techniques in Biomedical and Chemical Research (20 papers), Autophagy in Disease and Therapy (16 papers) and Cancer, Hypoxia, and Metabolism (15 papers). Julian J. Lum is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (20 papers), Autophagy in Disease and Therapy (16 papers) and Cancer, Hypoxia, and Metabolism (15 papers). Julian J. Lum collaborates with scholars based in Canada, United States and France. Julian J. Lum's co-authors include Craig B. Thompson, Ralph J. DeBerardinis, Georgia Hatzivassiliou, Ravi K. Amaravadi, Marian H. Harris, Mei Kong, Tullia Lindsten, Chi Li, Daniel Bauer and Thi Bui and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Julian J. Lum

90 papers receiving 9.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation

2008 3.2k citations Ralph J. DeBerardinis, Julian J. Lum et al. profile →
Growth Factor Regulation of Autophagy and Cell Survival in the Absence of Apoptosis

2005 1.2k citations Julian J. Lum, Craig B. Thompson et al. profile →
Autophagy inhibition enhances therapy-induced apoptosis in a Myc-induced model of lymphoma

2007 936 citations Ravi K. Amaravadi, Julian J. Lum et al. profile →
Systemic Treatment with the Antidiabetic Drug Metformin Selectively Impairs p53-Deficient Tumor Cell Growth

2007 756 citations Monica Buzzai, Russell G. Jones et al. Cancer Research profile →
Autophagy in metazoans: cell survival in the land of plenty

2005 635 citations Julian J. Lum, Ralph J. DeBerardinis et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Julian J. Lum Canada	32	6.0k	3.2k	3.0k	1.4k	1.1k	91	9.9k
Wei‐Xing Zong United States	43	8.4k 1.4×	2.2k 0.7×	2.1k 0.7×	2.1k 1.5×	2.0k 1.8×	79	12.0k
Alexei Degterev United States	42	9.1k 1.5×	1.3k 0.4×	1.9k 0.7×	1.5k 1.1×	3.4k 3.0×	88	12.2k
Christian Frezza United Kingdom	61	11.4k 1.9×	4.2k 1.3×	1.5k 0.5×	1.2k 0.9×	2.0k 1.7×	139	16.1k
Emily H. Cheng United States	48	12.6k 2.1×	2.5k 0.8×	2.3k 0.8×	2.6k 2.0×	2.1k 1.9×	94	16.4k
Ilio Vitale France	48	6.7k 1.1×	2.3k 0.7×	2.0k 0.7×	4.0k 2.9×	2.4k 2.1×	100	12.3k
Marian H. Harris United States	32	6.8k 1.1×	4.2k 1.3×	1.6k 0.5×	1.6k 1.2×	1.9k 1.7×	78	11.1k
Jerry E. Chipuk United States	45	9.1k 1.5×	1.5k 0.5×	1.6k 0.6×	2.6k 1.9×	1.8k 1.6×	89	12.4k
João A. Paulo United States	59	8.4k 1.4×	1.1k 0.3×	2.7k 0.9×	1.7k 1.2×	1.4k 1.2×	317	13.2k
Donald D. Newmeyer United States	43	14.3k 2.4×	1.6k 0.5×	2.1k 0.7×	2.6k 1.9×	2.2k 1.9×	55	17.8k
Xuesong Liu China	47	15.5k 2.6×	2.3k 0.7×	2.1k 0.7×	3.8k 2.8×	3.4k 3.0×	231	21.3k

Countries citing papers authored by Julian J. Lum

Since Specialization

Citations

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

Fields of papers citing papers by Julian J. Lum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian J. Lum. 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 Julian J. Lum. The network helps show where Julian J. Lum may publish in the future.

Co-authorship network of co-authors of Julian J. Lum

This figure shows the co-authorship network connecting the top 25 collaborators of Julian J. Lum. A scholar is included among the top collaborators of Julian J. Lum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julian J. Lum. Julian J. Lum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brolo, Alexandre G., et al.. (2024). Metabolic profiling of murine radiation-induced lung injury with Raman spectroscopy and comparative machine learning. The Analyst. 149(10). 2864–2876. 2 indexed citations

Narayan, Apurva, et al.. (2024). Stratification of tumour cell radiation response and metabolic signatures visualization with Raman spectroscopy and explainable convolutional neural network. The Analyst. 149(5). 1645–1657. 7 indexed citations

Murphy, Rachel A., et al.. (2024). The Clinical Impact of Time-restricted Eating on Cancer: A Systematic Review. Nutrition Reviews. 83(7). e1660–e1676. 3 indexed citations

Lum, Julian J., et al.. (2023). Decision Aids for Patients With Head and Neck Cancer: Qualitative Elicitation of Design Recommendations From Patient End Users. JMIR Human Factors. 10. e43551–e43551. 2 indexed citations

Narayan, Apurva, et al.. (2023). Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts. Scientific Reports. 13(1). 1530–1530. 16 indexed citations

Guo, Nancy Lan, Aijun Yang, Lindsay DeVorkin, et al.. (2023). CD8 + T cell infiltration is associated with improved survival and negatively correlates with hypoxia in clear cell ovarian cancer. Scientific Reports. 13(1). 6530–6530. 8 indexed citations

Kilgour, Marisa K., Sarah MacPherson, Lauren G. Zacharias, et al.. (2022). Principles of reproducible metabolite profiling of enriched lymphocytes in tumors and ascites from human ovarian cancer. Nature Protocols. 17(11). 2668–2698. 7 indexed citations

Lum, Julian J., et al.. (2022). Intermittent Fasting in Cancer: a Role in Survivorship?. Current Nutrition Reports. 11(3). 500–507. 1 indexed citations

Walter, Patrick B., Julian J. Lum, Lisa Lavrisha, et al.. (2022). The effects of glutamine supplementation on markers of apoptosis and autophagy in sickle cell disease peripheral blood mononuclear cells. Complementary Therapies in Medicine. 70. 102856–102856. 1 indexed citations

10.

Kilgour, Marisa K., Sarah MacPherson, Lauren G. Zacharias, et al.. (2021). 1-Methylnicotinamide is an immune regulatory metabolite in human ovarian cancer. Science Advances. 7(4). 51 indexed citations

11.

Li, J, Julian J. Lum, Zacharias Aloysius Dwi Pramono, et al.. (2018). Nanostring Analysis of Skin Biopsies from Patients with Henoch-Schönlein Purpura Reveals Genes Associated with Pathology and Heterogeneity in the Disease Process. Acta Dermato Venereologica. 98(9). 896–897. 1 indexed citations

12.

Aoki, Pedro H. B., et al.. (2018). Breast cancer subtype specific biochemical responses to radiation. The Analyst. 143(16). 3850–3858. 20 indexed citations

13.

Lin, Yen‐Yi, Phineas T. Hamilton, S. Cenk Şahinalp, et al.. (2017). Mutational Analysis of Gene Fusions Predicts Novel MHC Class I–Restricted T-Cell Epitopes and Immune Signatures in a Subset of Prostate Cancer. Clinical Cancer Research. 23(24). 7596–7607. 17 indexed citations

14.

Rothe, Katharina, Svetlana Bortnik, Lubomir Vezenkov, et al.. (2013). Autophagy. Autophagy. 9(12). 2180–2182. 17 indexed citations

15.

Townsend, Katelin N., Nathaniel R. West, Steve E. Kalloger, et al.. (2012). The autophagy protein LC3A correlates with hypoxia and is a prognostic marker of patient survival in clear cell ovarian cancer. The Journal of Pathology. 228(4). 437–447. 44 indexed citations

16.

Ma, Xiaohong, Shengfu Piao, Quentin McAfee, et al.. (2011). Measurements of Tumor Cell Autophagy Predict Invasiveness, Resistance to Chemotherapy, and Survival in Melanoma. Clinical Cancer Research. 17(10). 3478–3489. 197 indexed citations

17.

Buzzai, Monica, Russell G. Jones, Ravi K. Amaravadi, et al.. (2007). Systemic Treatment with the Antidiabetic Drug Metformin Selectively Impairs p53-Deficient Tumor Cell Growth. Cancer Research. 67(14). 6745–6752. 756 indexed citations breakdown →

18.

Lum, Julian J., Thi Bui, Michaela Gruber, et al.. (2007). The transcription factor HIF-1α plays a critical role in the growth factor-dependent regulation of both aerobic and anaerobic glycolysis. Genes & Development. 21(9). 1037–1049. 337 indexed citations

19.

Lum, Julian J., Gary D. Bren, Rebecca F. McClure, & Andrew D. Badley. (2005). Elimination of Senescent Neutrophils by TNF-Related Apoptosis-Inducing Ligand. The Journal of Immunology. 175(2). 1232–1238. 60 indexed citations

20.

Lum, Julian J. & Andrew D. Badley. (2003). Resistance to Apoptosis: Mechanism for the Development of HIV Reservoirs. Current HIV Research. 1(3). 261–274. 22 indexed citations

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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