Maxim Koslow

27 papers receiving 1.3k citations

Peers

Maxim Koslow
Comparison fields: 5 of 70
  • Genetics 518
  • Oncology 435
  • Neurology 180
  • Cancer Research 144
  • Cell Biology 107
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Mari‐Paz Rubio Spain
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Robert B. Jenkins United States
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Naoki Yajima Japan
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Citations per year

Countries citing papers authored by Maxim Koslow

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Koslow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994261
2
p53 mutations in human malignant gliomas: comparison of loss of heterozygosity with mutation frequency.
1992217
3 1995145
4 2007112
5
High frequency of p53 protein accumulation without p53 gene mutation in human juvenile pilocytic, low grade and anaplastic astrocytomas.
1994109
6 1993101
7 197789
8 199079
9 198125
10 199924
11 197021
12 197217
13 198615
14 199114
15 198513
16 197512
17 197911
18
Three-dimensional neuroanatomic images in CT-guided stereotaxic neurosurgery.
19838
19
Cytologic findings in progressive multifocal leukoencephalopathy. Report of two cases.
19877
20
Radioisotope angiography of the spinal cord.
19727

About Maxim Koslow

Maxim Koslow is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Cancer-related Molecular Pathways (4 papers), Anatomy and Medical Technology (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Microtubule and mitosis dynamics (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Genetics (518 citations), Oncology (435 citations), Neurology (180 citations), Cancer Research (144 citations) and Cell Biology (107 citations). Maxim Koslow has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Elizabeth W. Newcomb, Douglas C. Miller, Frederick F. Lang, William Bayona, Gleb N. Budzilovich, Dimitris Karabetsos, Irene S. Kourbeti, Robert S. Holzman, Norman E. Chase and David Burstein. Their work appears in journals such as Neurosurgery, Stereotactic and Functional Neurosurgery, Radiology, Journal of neurosurgery and Neuroradiology.

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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