Z. Win

16 papers receiving 798 citations

Peers

Z. Win
Comparison fields: 5 of 73
  • Internal Medicine 158
  • Critical Care and Intensive Care Medicine 65
  • Pulmonary and Respiratory Medicine 332
  • Endocrinology, Diabetes and Metabolism 157
  • Genetics 95
Replace Beat J. Meyer with:
Beat J. Meyer Switzerland
M. Grimaux France
Heok Cheow United Kingdom
Donna R. Grogan United States
Maria‐Rosa Ghigna France
Antonio Montinaro Italy
W.R.M. Aengevaeren Netherlands
Beau M. Hawkins United States
Paolo Sganzerla Italy
Nobuhiro Yaoita Japan
Z. Win relative to Beat J. Meyer Switzerland Beat J. Meyer's profile →
Citations per field
00.5×5.1×
Beat J. Meyer · 1×
Citations per year

Countries citing papers authored by Z. Win

Since Specialization
Citations

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

Fields of papers citing papers by Z. Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007349
2 2015140
3
Gallium-68 PET: a new frontier in receptor cancer imaging.
200895
4 201273
5 200955
6 201517
7
Somatostatin receptor PET imaging with Gallium-68 labeled peptides.
200716
8
Multimodality imaging of the parathyroid glands in primary hyperparathyroidism.
200815
9 201414
10
PET imaging in endocrine tumours.
200814
11 202410
12 20057
13 20085
14 20094
15 20063
16 20061

About Z. Win

Z. Win is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine and Oncology, having authored 16 papers that have together received 818 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (5 papers), Medical Imaging Techniques and Applications (4 papers), Neuroblastoma Research and Treatments (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Lung Cancer Research Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Diet and metabolism studies (2 papers) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Internal Medicine (158 citations), Critical Care and Intensive Care Medicine (65 citations), Pulmonary and Respiratory Medicine (332 citations), Endocrinology, Diabetes and Metabolism (157 citations) and Genetics (95 citations). Z. Win has collaborated with scholars based in United Kingdom, United States and Pakistan. Frequent co-authors include Adil Al‐Nahhas, P. Gishen, Nina Tunariu, Alison Graham, Wendy Gin‐Sing, Domenico Rubello, Teresa Szyszko, Tricia Tan, Waljit S. Dhillo and Cristina Nanni. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Clinical Infectious Diseases, Diabetes Obesity and Metabolism, Clinical Radiology and British Journal of Radiology.

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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