Norman E. Leeds

7.0k total citations · 1 hit paper
125 papers, 5.0k citations indexed

About

Norman E. Leeds is a scholar working on Neurology, Genetics and Epidemiology. According to data from OpenAlex, Norman E. Leeds has authored 125 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Neurology, 31 papers in Genetics and 29 papers in Epidemiology. Recurrent topics in Norman E. Leeds's work include Glioma Diagnosis and Treatment (30 papers), Meningioma and schwannoma management (20 papers) and Advanced MRI Techniques and Applications (14 papers). Norman E. Leeds is often cited by papers focused on Glioma Diagnosis and Treatment (30 papers), Meningioma and schwannoma management (20 papers) and Advanced MRI Techniques and Applications (14 papers). Norman E. Leeds collaborates with scholars based in United States, United Kingdom and Spain. Norman E. Leeds's co-authors include Gregory N. Fuller, Raymond Sawaya, Thomas P. Naidich, Ashok J. Kumar, Lawrence E. Ginsberg, Victor A. Levin, Moshe Maor, Robert D. Zimmerman, Pamela Van Tassel and Edward F. Jackson and has published in prestigious journals such as Neurology, Clinical Infectious Diseases and Annals of Neurology.

In The Last Decade

Norman E. Leeds

123 papers receiving 4.7k citations

Hit Papers

Malignant Gliomas: MR Imaging Spectrum of Radiation Thera... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers

Norman E. Leeds
Comparison fields: 5 of 127
  • Genetics 1.6k
  • Neurology 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Surgery 1.1k
  • Pulmonary and Respiratory Medicine 1.1k
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Citations per field, relative to Norman E. Leeds
Norman E. Leeds · 1×
Citations per year, relative to Norman E. Leeds
Norman E. Leeds · 1×

Countries citing papers authored by Norman E. Leeds

Since Specialization
Citations

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

Fields of papers citing papers by Norman E. Leeds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norman E. Leeds. 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 Norman E. Leeds. The network helps show where Norman E. Leeds may publish in the future.

Co-authorship network of co-authors of Norman E. Leeds

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 16
2 16
3 104
4 47
5 10
6 54
7 28
8 39
9
Malignant Gliomas: MR Imaging Spectrum of Radiation Therapy- and Chemotherapy-induced Necrosis of the Brain after Treatment breakdown →
507
10 71
11 182
12 32
13 213
14 29
15 132
16 4
17
Takayasu's arteritis with involvement of intracranial vessels
1
18
Falx and Interhemispheric Fissure on Axial CT: I. Normal Anatomy
3
19 28
20
Dynamic factors in diagnosis of supratentorial brain tumors by cerebral angiography
13

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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