M. Waleed Gaber

5.6k citations
71 papers · 4.1k indexed · 2 hit papers · h-index 25

M. Waleed Gaber

70 papers receiving 4.1k citations

Hit Papers

Asprosin, a Fasting-Induced Glucogenic Protei...382200720262013201950010001.5k

Peers

M. Waleed Gaber
Comparison fields: 5 of 154
  • Genetics 1.1k
  • Developmental Neuroscience 304
  • Cancer Research 740
  • Modeling and Simulation 224
  • Oncology 1.1k
Replace Mitsutoshi Nakada with:
Mitsutoshi Nakada Japan
Frank Winkler Germany
Seok‐Gu Kang South Korea
John S. Yu United States
Steven Brem United States
Annunziato Mangiola Italy
Sandra Pastorino United States
Matthew G. Ewend United States
Lucia Ricci‐Vitiani Italy
Davide Schiffer Italy
M. Waleed Gaber relative to Mitsutoshi Nakada Japan Mitsutoshi Nakada's profile →
Citations per field
00.5×3.9×
Mitsutoshi Nakada · 1×
Citations per year

Countries citing papers authored by M. Waleed Gaber

Since Specialization
Citations

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

Fields of papers citing papers by M. Waleed Gaber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Waleed Gaber. 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 M. Waleed Gaber. The network helps show where M. Waleed Gaber may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20213
3 20216
4 201811
5 201711
6
Asprosin, a Fasting-Induced Glucogenic Protein Hormonebreakdown →
2016382
7 2010216
8 200951
9 2009118
10 200852
11 20088
12 200669
13 20069
14 200552
15 200455
16 200387
17 200310
18 200277
19 200246
20 200099

About M. Waleed Gaber

M. Waleed Gaber is a scholar working on Developmental Neuroscience, Genetics, Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 71 papers that have together received 4.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Effects of Radiation Exposure (9 papers), Medical Imaging Techniques and Applications (7 papers), Brain Metastases and Treatment (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Cancer-related cognitive impairment studies (4 papers). The work is most often cited by research in Genetics (1.1k citations), Developmental Neuroscience (304 citations), Cancer Research (740 citations), Modeling and Simulation (224 citations) and Oncology (1.1k citations). M. Waleed Gaber has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas E. Merchant, Mohammad F. Kiani, Andrew M. Davidoff, Christopher Calabrese, Richard J. Gilbertson, A‎. ‎M‎. ‎A‎. El-Sayed, Ildar T. Bayazitov, Stanislav S. Zakharenko, Mehmet Koçak and Meredith Allen. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiation Research, Neural Plasticity, Biomaterials and Journal of the American College of Surgeons.

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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