Yan Xiu

1.4k citations
46 papers · 1.1k · h-index 18

Impact in

Papers in

Yan Xiu

46 papers receiving 1.1k citations

Peers

Yan Xiu
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 375
  • Cancer Research 171
  • Pulmonary and Respiratory Medicine 333
  • Emergency Medicine 84
  • Pathology and Forensic Medicine 142
Replace Amol Takalkar with:
Amol Takalkar United States
Jigang Yang China
Tetsuya Horiuchi Japan
Hidehiko Hara Japan
Holger Engel Germany
Israel M. Barbash Israel
Brendan J. MacKay United States
Tommi Pätilä Finland
Harmandeep Singh India
Yong Choi United States
Yan Xiu relative to Amol Takalkar United States Amol Takalkar's profile →
Citations per field
00.5×1.5×2.0×
Amol Takalkar · 1×
Citations per year

Countries citing papers authored by Yan Xiu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
18F-FDG PET in evaluation of adrenal lesions in patients with lung cancer.
2004167
2 2007104
3 200590
4 200288
5 201666
6 200556
7
18F-FDG PET for evaluation of the treatment response in patients with gastrointestinal tract lymphomas.
200450
8 200446
9 201438
10 200435
11 200534
12 201132
13 200530
14 200426
15 200423
16 202223
17 201322
18 201718
19 202016
20 201416

About Yan Xiu

Yan Xiu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Cancer Research, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Medical Imaging and Pathology Studies (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Hematological disorders and diagnostics (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (375 citations), Cancer Research (171 citations), Pulmonary and Respiratory Medicine (333 citations), Emergency Medicine (84 citations) and Pathology and Forensic Medicine (142 citations). Yan Xiu has collaborated with scholars based in China, United States and India. Frequent co-authors include Hongming Zhuang, Abass Alavi, Rakesh Kumar, Jian Q. Yu, Ghassan El‐Haddad, Scott Potenta, Amol Takalkar, Justin W. Kung, Ayşe Mavi and Rakesh Kumar. Their work appears in journals such as Nuclear Medicine Communications, Annals of Nuclear Medicine, Nuclear Medicine and Biology, Clinical Nuclear Medicine and Frontiers in Psychiatry.

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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