Albert Attia

62 papers receiving 1.4k citations

Peers

Albert Attia
Comparison fields: 5 of 96
  • Genetics 340
  • Pulmonary and Respiratory Medicine 683
  • Otorhinolaryngology 72
  • Speech and Hearing 110
  • Oncology 442
Replace Thomas Hehr with:
Thomas Hehr Germany
Marcus Niewald Germany
Charles E. Rutter United States
Noah D. Sabin United States
David Kaul Germany
G. Hör Germany
Zhirui Zhou China
Soon‐Hyun Ahn South Korea
William L. McGinnis United States
Naoki Otsuki Japan
Albert Attia relative to Thomas Hehr Germany Thomas Hehr's profile →
Citations per field
00.5×6.3×
Thomas Hehr · 1×
Citations per year

Countries citing papers authored by Albert Attia

Since Specialization
Citations

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

Fields of papers citing papers by Albert Attia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015256
2 2007158
3 2019100
4 201280
5 200968
6 200761
7 201451
8 201249
9 201643
10 201737
11 198535
12 201733
13 201930
14 197828
15 201726
16 202223
17 201420
18 200819
19 196119
20 201616

About Albert Attia

Albert Attia is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Neurology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), Meningioma and schwannoma management (16 papers), Brain Metastases and Treatment (15 papers), Management of metastatic bone disease (7 papers), Neurofibromatosis and Schwannoma Cases (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Genetics (340 citations), Pulmonary and Respiratory Medicine (683 citations), Otorhinolaryngology (72 citations), Speech and Hearing (110 citations) and Oncology (442 citations). Albert Attia has collaborated with scholars based in United States, Norway and Netherlands. Frequent co-authors include Michael D. Chan, Seth M. Cohen, Veronica Chiang, Matthew S. Ning, Joseph N. Contessa, J. Pieter Noordzij, Thomas F. Cleveland, C. Gaelyn Garrett, Michael G. Stewart and Robert H. Ossoff. Their work appears in journals such as Journal of Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Otology & Neurotology, Practical Radiation Oncology and Medical Physics.

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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