X Wang

603 citations
19 papers · 406 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

X Wang

16 papers receiving 400 citations

Peers

X Wang
Comparison fields: 5 of 51
  • Hematology 77
  • Physiology 20
  • Cancer Research 53
  • Hepatology 25
  • Pulmonary and Respiratory Medicine 94
Replace Catherine Schill with:
Catherine Schill Switzerland
Sang Hyung Lee South Korea
Shani L. Frayo United States
Xiaojie Xu China
Hyun Tae Lee South Korea
Katharine A. Collier United States
Michael Olson United States
Naseem Kerr United States
Priyanka Gopal United States
Matthew Winans United States
X Wang relative to Catherine Schill Switzerland Catherine Schill's profile →
Citations per field
00.5×2×3.1×
Catherine Schill · 1×
Citations per year

Countries citing papers authored by X Wang

Since Specialization
Citations

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

Fields of papers citing papers by X Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011112
2 201560
3 199956
4 199551
5 200737
6 202131
7 201323
8
Gamma-ray mutagen sensitivity and survival in patients with glioma.
199813
9 201510
10 20164
11 20153
12 20142
13 20051
14 20121
15 20121
16 20101
17 20160
18 20240
19 20060

About X Wang

X Wang is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Hematology, having authored 19 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (7 papers), Radiation Therapy and Dosimetry (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Acute Myeloid Leukemia Research (2 papers), Medical Imaging and Analysis (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Hematology (77 citations), Physiology (20 citations), Cancer Research (53 citations), Hepatology (25 citations) and Pulmonary and Respiratory Medicine (94 citations). X Wang has collaborated with scholars based in United States, Italy and Portugal. Frequent co-authors include Mehrdad Khajavi, Kimberly S. McKee, C. Logothetis, Nizar M. Tannir, John V. Heymach, Li Xu, Matthew H. Herynk, Hai T. Tran, Eric Jonasch and Shaoyu Yan. Their work appears in journals such as Medical Physics, Leukemia, Biochimica et Biophysica Acta (BBA) - General Subjects, British Journal of Radiology and British journal of surgery.

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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