Lawrence Cher

73 papers receiving 2.4k citations

Peers

Lawrence Cher
Comparison fields: 5 of 90
  • Genetics 1.6k
  • Neurology 936
  • Pathology and Forensic Medicine 633
  • Cancer Research 433
  • Radiology, Nuclear Medicine and Imaging 406
Replace Felix Bokstein with:
Felix Bokstein Israel
Michael L. Gruber United States
Sean Grimm United States
Teri Kreisl United States
Minhee Won United States
Pierre-Yves Dietrich Switzerland
T. Siegal Israel
Maryline Barrié France
Peter C. Burger United States
Edward J. Dropcho United States
Lawrence Cher relative to Felix Bokstein Israel Felix Bokstein's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lawrence Cher

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Cher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010359
2 1994263
3 2016204
4
Correlation of hypoxic cell fraction and angiogenesis with glucose metabolic rate in gliomas using 18F-fluoromisonidazole, 18F-FDG PET, and immunohistochemical studies.
2006140
5 2015113
6 2009112
7 1996112
8 201196
9
Echo-planar MR determination of relative cerebral blood volume in human brain tumors: T1 versus T2 weighting.
199679
10 199568
11 200468
12 200059
13 200257
14 199655
15 201354
16 200642
17 200236
18 201029
19 201629
20 200827

About Lawrence Cher

Lawrence Cher is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Neurology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (57 papers), Brain Metastases and Treatment (19 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Meningioma and schwannoma management (8 papers), Lymphoma Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Genetics (1.6k citations), Neurology (936 citations), Pathology and Forensic Medicine (633 citations), Cancer Research (433 citations) and Radiology, Nuclear Medicine and Imaging (406 citations). Lawrence Cher has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Fred H. Hochberg, Jon Glass, Mark Rosenthal, Michael L. Gruber, Hui Gan, Wolfgang Wick, Alain Carpentier, Griffith R. Harsh, David M. Ashley and David L. Ashley. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Journal of Neuro-Oncology, Journal of Clinical Neuroscience and Cancer.

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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