Laurence Gluch

3.2k total citations
19 papers, 596 citations indexed

About

Laurence Gluch is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Biological Psychiatry. According to data from OpenAlex, Laurence Gluch has authored 19 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biological Psychiatry. Recurrent topics in Laurence Gluch's work include Advanced MRI Techniques and Applications (5 papers), Tryptophan and brain disorders (5 papers) and MRI in cancer diagnosis (4 papers). Laurence Gluch is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Tryptophan and brain disorders (5 papers) and MRI in cancer diagnosis (4 papers). Laurence Gluch collaborates with scholars based in Australia, United States and Switzerland. Laurence Gluch's co-authors include Benjamin Heng, Gilles J. Guillemin, Chai K. Lim, David B. Lovejoy, Alban Bessede, D.J. Gillett, Carolyn E. Mountford, Peter Malycha, Cynthia L. Lean and Hugh Carmalt and has published in prestigious journals such as British Journal of Cancer, Magnetic Resonance in Medicine and British journal of surgery.

In The Last Decade

Laurence Gluch

16 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurence Gluch Australia 12 165 162 145 117 100 19 596
Soo Kyung Ahn South Korea 18 135 0.8× 149 0.9× 377 2.6× 254 2.2× 23 0.2× 48 824
Hongkai Wang China 14 150 0.9× 221 1.4× 78 0.5× 60 0.5× 14 0.1× 38 566
Michèle El Atifi France 11 243 1.5× 106 0.7× 226 1.6× 121 1.0× 7 0.1× 18 588
Ganghua Tang China 12 108 0.7× 275 1.7× 171 1.2× 167 1.4× 13 0.1× 54 548
Valeria Masiello Italy 12 44 0.3× 120 0.7× 70 0.5× 93 0.8× 14 0.1× 33 385
Jessica M. Molkentine United States 14 407 2.5× 61 0.4× 141 1.0× 270 2.3× 17 0.2× 27 714
Shashikant Patel India 12 230 1.4× 89 0.5× 43 0.3× 177 1.5× 8 0.1× 29 467
Sara Gagno Italy 14 153 0.9× 16 0.1× 82 0.6× 240 2.1× 28 0.3× 42 548
J L Stern United States 11 91 0.6× 311 1.9× 32 0.2× 64 0.5× 15 0.1× 16 1.3k

Countries citing papers authored by Laurence Gluch

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Gluch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Gluch

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Gluch. A scholar is included among the top collaborators of Laurence Gluch 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 Laurence Gluch. Laurence Gluch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Mohamedali, Abidali, Chi Nam Ignatius Pang, Laurence Gluch, et al.. (2025). Recombinant Protein Spectral Library (rPSL) DIA-MS method improves identification and quantification of low-abundance cancer-associated and kynurenine pathway proteins. Communications Chemistry. 8(1). 141–141.
2.
Carroll, Luke, Anna Guller, Ayse Bilgin, et al.. (2024). Breast cancer metastasis progression is associated with elevated activity of kynurenine monooxygenase and kynureninase. British Journal of Cancer. 131(12). 1881–1892. 1 indexed citations
3.
Pires, Ananda Staats, et al.. (2023). Involvement of the kynurenine pathway in breast cancer: updates on clinical research and trials. British Journal of Cancer. 129(2). 185–203. 26 indexed citations
4.
Heng, Benjamin, Ayse Bilgin, David B. Lovejoy, et al.. (2020). Differential kynurenine pathway metabolism in highly metastatic aggressive breast cancer subtypes: beyond IDO1-induced immunosuppression. Breast Cancer Research. 22(1). 113–113. 47 indexed citations
5.
Heng, Benjamin, Chai K. Lim, David B. Lovejoy, et al.. (2015). Understanding the role of the kynurenine pathway in human breast cancer immunobiology. Oncotarget. 7(6). 6506–6520. 111 indexed citations
6.
Cooper, Caroline, Christina Selinger, Elizabeth H Barnes, et al.. (2014). Cell cycle marker expression in benign and malignant intraductal papillary lesions of the breast. Journal of Clinical Pathology. 68(3). 187–191. 11 indexed citations
7.
Power, Carl, Geoffrey Watson, Gary Cowin, et al.. (2014). Microscopic diffusion properties of fixed breast tissue: Preliminary findings. Magnetic Resonance in Medicine. 74(6). 1733–1739. 7 indexed citations
8.
Gluch, Laurence, et al.. (2014). Tubular carcinoma of the breast: axillary involvement and prognostic factors. ANZ Journal of Surgery. 85(6). 448–451. 15 indexed citations
9.
Uren, R., R Howman-Giles, David Chung, et al.. (2011). SPECT/CT scans allow precise anatomical location of sentinel lymph nodes in breast cancer and redefine lymphatic drainage from the breast to the axilla. The Breast. 21(4). 480–486. 31 indexed citations
10.
Elder, Elisabeth, et al.. (2006). Patterns of breast cancer relapse. European Journal of Surgical Oncology. 32(9). 922–927. 67 indexed citations
11.
Gluch, Laurence. (2005). MAGNETIC RESONANCE IN SURGICAL ONCOLOGY: II – LITERATURE REVIEW. ANZ Journal of Surgery. 75(6). 464–470. 14 indexed citations
12.
Gluch, Laurence. (2005). MAGNETIC RESONANCE IN SURGICAL ONCOLOGY: I – ON THE ORIGIN OF THE SPECTRUM. ANZ Journal of Surgery. 75(6). 459–463. 3 indexed citations
13.
Peters, Matthew, et al.. (2004). Smoking cessation and elective surgery: the cleanest cut. The Medical Journal of Australia. 181(5). 283–285.
14.
Stanwell, Peter, Laurence Gluch, David W. Clark, et al.. (2004). Specificity of choline metabolites for in vivo diagnosis of breast cancer using 1H MRS at 1.5�T. European Radiology. 15(5). 1037–1043. 90 indexed citations
15.
Peters, Matthew, Lucy Morgan, & Laurence Gluch. (2004). Smoking cessation and elective surgery: the cleanest cut. The Medical Journal of Australia. 180(7). 317–318. 15 indexed citations
16.
Gluch, Laurence & David Walker. (2002). Intraoperative magnetic resonance: The future of surgery. ANZ Journal of Surgery. 72(6). 426–436. 7 indexed citations
17.
Mountford, Carolyn E., Ray Somorjai, Peter Malycha, et al.. (2001). Diagnosis and prognosis of breast cancer by magnetic resonance spectroscopy of fine-needle aspirates analysed using a statistical classification strategy. British journal of surgery. 88(9). 1234–1240. 87 indexed citations
18.
Gluch, Laurence, et al.. (1999). INFLAMMATORY PSEUDOTUMOUR SECONDARY TO ACTINOMYCES INFECTION. Australian and New Zealand Journal of Surgery. 69(6). 467–469. 19 indexed citations
19.
Gluch, Laurence, et al.. (1999). Comparison of Outcomes following Transhiatal or Ivor Lewis Esophagectomy for Esophageal Carcinoma. World Journal of Surgery. 23(3). 271–276. 45 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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