Zarni Win

899 citations
34 papers · 529 indexed · h-index 12

Impact in

Papers in

Zarni Win

34 papers receiving 511 citations

Peers

Zarni Win
Comparison fields: 5 of 92
  • Psychiatry and Mental health 89
  • Neurology 88
  • Radiology, Nuclear Medicine and Imaging 113
  • Music 15
  • Endocrinology, Diabetes and Metabolism 71
Replace Makoto Amanuma with:
Makoto Amanuma Japan
Xiaoyan Jia China
Carles Lorenzo‐Bosquet Spain
Greg Wheeler Australia
Haide Qin China
Anne Dorandeu France
Hatice Durak Türkiye
Xavier Setoaín Spain
F. Lomeña Spain
Vytenis Pranas Deltuva Lithuania
Zarni Win relative to Makoto Amanuma Japan Makoto Amanuma's profile →
Citations per field
00.5×1.5×2.5×
Makoto Amanuma · 1×
Citations per year

Countries citing papers authored by Zarni Win

Since Specialization
Citations

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

Fields of papers citing papers by Zarni Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20236
3 20214
4 20217
5 202019
6 202010
7 20199
8 201914
9 20192
10 20148
11 20131
12 201334
13 201130
14 201032
15 20105
16 201065
17 200762
18 20069
19 200624
20 200524

About Zarni Win

Zarni Win is a scholar working on Psychiatry and Mental health, Neurology, Music, Physiology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 529 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (10 papers), Alzheimer's disease research and treatments (7 papers), Medical Imaging Techniques and Applications (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Neuroblastoma Research and Treatments (4 papers), Adrenal and Paraganglionic Tumors (3 papers), Medical Imaging and Pathology Studies (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Psychiatry and Mental health (89 citations), Neurology (88 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Music (15 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Zarni Win has collaborated with scholars based in United Kingdom, Italy and Denmark. Frequent co-authors include Adil Al‐Nahhas, Paresh Malhotra, Richard Perry, Domenico Rubello, Jeannie F Todd, Christopher Carswell, Neva Patel, Philip Gishen, Valerie Lewington and Imene Zerizer. Their work appears in journals such as Nuclear Medicine Communications, British Journal of Radiology, Journal of Neurology Neurosurgery & Psychiatry, Journal of Alzheimer s Disease and International Journal of Radiation Oncology*Biology*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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