Daniel Yang

41 papers receiving 204 citations

Peers

Daniel Yang
Comparison fields: 5 of 64
  • Hematology 26
  • Biophysics 9
  • Emergency Medicine 11
  • Genetics 10
  • Rheumatology 13
Replace Gabriele Hessling with:
Gabriele Hessling Germany
Luis R. Scott United States
Wenjie Pang Australia
João Malta United States
Pin Lin Kei Singapore
Esra Gücük İpek United States
Alessandra Buiatti Germany
Laura‐Ann McGill United Kingdom
Hemant Kumar India
Daniel Yang relative to Gabriele Hessling Germany Gabriele Hessling's profile →
Citations per field
00.5×4.3×
Gabriele Hessling · 1×
Citations per year

Countries citing papers authored by Daniel Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200833
2 199425
3 202423
4 202314
5 200211
6 200711
7 201710
8 20228
9 20188
10 20236
11 20216
12 20156
13 20066
14 20225
15 20025
16 20244
17 19924
18 20254
19 20163
20 20233

About Daniel Yang

Daniel Yang is a scholar working on Electrical and Electronic Engineering, Surgery, Biomedical Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 52 papers that have together received 222 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (11 papers), Semiconductor Quantum Structures and Devices (6 papers), Microwave Engineering and Waveguides (4 papers), Semiconductor Lasers and Optical Devices (2 papers), Iterative Learning Control Systems (2 papers), Superconducting and THz Device Technology (2 papers), Elbow and Forearm Trauma Treatment (2 papers) and Engineering and Test Systems (2 papers). The work is most often cited by research in Hematology (26 citations), Biophysics (9 citations), Emergency Medicine (11 citations), Genetics (10 citations) and Rheumatology (13 citations). Daniel Yang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Thomas Bewley, G.S. Dow, Marco Verlaan, Leyao Wang, Hagop M. Kantarjian, Elias Jabbour, Chao Zhou, Jörge E. Cortes, B.R. Allen and Patricia Ault. Their work appears in journals such as Journal of Pediatric Orthopaedics, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Microwave Theory and Techniques, European Journal of Orthopaedic Surgery & Traumatology and Blood.

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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