William Makis

102 papers receiving 883 citations

Peers

William Makis
Comparison fields: 5 of 61
  • Radiology, Nuclear Medicine and Imaging 187
  • Pulmonary and Respiratory Medicine 173
  • Rheumatology 68
  • Endocrinology, Diabetes and Metabolism 66
  • Epidemiology 117
Replace Sellam Karunanithi with:
Sellam Karunanithi India
Luda Guralnik Israel
Napoleone Prandini Italy
William M. Kauffman United States
Tetsuo Maeda Japan
G. Bonardel France
Luis Gorospe Spain
Catherine S. Abendroth United States
Rajeev Sen India
G. Sigmund Germany
William Makis relative to Sellam Karunanithi India Sellam Karunanithi's profile →
Citations per field
00.5×1.5×2×2.3×
Sellam Karunanithi · 1×
Citations per year

Countries citing papers authored by William Makis

Since Specialization
Citations

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

Fields of papers citing papers by William Makis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202379
2 201257
3 201538
4 201333
5 201025
6 202425
7 201124
8 201524
9 201721
10 201217
11 201516
12 201115
13 201715
14 201114
15
Head and neck incidentalomas on positron emission tomographic scanning: ignore or investigate?
201114
16 201514
17 201514
18 201313
19 200912
20 201512

About William Makis

William Makis is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Rheumatology, having authored 106 papers that have together received 918 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Neuroendocrine Tumor Research Advances (17 papers), Sarcoma Diagnosis and Treatment (13 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Bone Tumor Diagnosis and Treatments (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (187 citations), Pulmonary and Respiratory Medicine (173 citations), Rheumatology (68 citations), Endocrinology, Diabetes and Metabolism (66 citations) and Epidemiology (117 citations). William Makis has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Marc P. Hickeson, Anthony Ciarallo, Alexander J.B. McEwan, Vilma A. Derbekyan, Robert Lisbona, Rajan Rakheja, Javier A. Novales-Diaz, Vladimir Nikolaevich Uversky, Elrashdy M Moustafa Mohamed Redwan and Alberto Rubio‐Casillas. Their work appears in journals such as Clinical Nuclear Medicine, American Journal of Roentgenology, British Journal of Radiology, Acta Radiologica and Nuclear Medicine and Molecular Imaging.

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.

Explore authors with similar magnitude of impact