Tong‐Yuan Yang

2.2k citations
39 papers · 1.2k indexed · h-index 15
Topics
Biosimilars and Bioanalytical Methods (16 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)Virus-based gene therapy research (9 papers)

In The Last Decade

Tong‐Yuan Yang

36 papers receiving 1.2k citations

Peers

Tong‐Yuan Yang
Comparison fields: 5 of 94
  • Oncology 516
  • Immunology 479
  • Molecular Biology 397
  • Physiology 230
  • Epidemiology 188
Replace Theodora W. Salcedo with:
Theodora W. Salcedo United States
Jr‐Wen Shui United States
Hans van Eenennaam Netherlands
Suman Mitra United States
Emiel Van Roost Belgium
Andrew G. Levine United States
Sam K. P. Kung Canada
Ignacio Moraga United States
Silvia Heltai Italy
Bernard Mariamé France
Tong‐Yuan Yang relative to Theodora W. Salcedo United States Theodora W. Salcedo's profile →
Citations per field
00.5×1.5×2.4×
Theodora W. Salcedo · 1×
Citations per year

Countries citing papers authored by Tong‐Yuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tong‐Yuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong‐Yuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tong‐Yuan Yang. A scholar is included among the top collaborators of Tong‐Yuan Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tong‐Yuan Yang. Tong‐Yuan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 11
4 2
5 2
6 2
7 24
8 9
9 48
10 10
11 4
12 65
13 65
14 4
15 14
16 3
17 35
18 35
19 314
20 17

About Tong‐Yuan Yang

Tong‐Yuan Yang is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (16 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Immunology (479 citations), Oncology (516 citations) and Physiology (230 citations). Tong‐Yuan Yang has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Maria Wiekowski, Sérgio A. Lira, Stephen W. Chensue, Satwant K. Narula, Denise Manfra, Lisa Sullivan, Shu‐Cheng Chen, Michael W. Leach, Bernhard Homey and Chung‐Her Jenh. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Molecular and Cellular Biology.

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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