Ya Wu

965 citations
44 papers · 732 · h-index 16

Impact in

Papers in

Ya Wu

38 papers receiving 722 citations

Peers

Ya Wu
Comparison fields: 5 of 90
  • Hematology 115
  • Biochemistry 49
  • Inorganic Chemistry 117
  • Bioengineering 44
  • Critical Care and Intensive Care Medicine 32
Replace Kakali Ghoshal with:
Kakali Ghoshal India
Dongwei Zhu China
О. А. Азизова Russia
Meiling Su China
Xiaowen Yan China
Miloslav Macháček Czechia
Ling He China
Zerrin Cantürk Türkiye
Limei Fan China
Pavlína Hašková Czechia
Ya Wu relative to Kakali Ghoshal India Kakali Ghoshal's profile →
Citations per field
00.5×9.8×
Kakali Ghoshal · 1×
Citations per year

Countries citing papers authored by Ya Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199999
2 202093
3 202057
4 202154
5 200647
6 200840
7 201331
8 201928
9 202124
10
Elevated plasma tissue-type plasminogen activator (t-PA) and soluble thrombomodulin in patients suffering from severe acute respiratory syndrome (SARS) as a possible index for prognosis and treatment strategy.
200524
11 201319
12 200718
13 201517
14 202116
15 202315
16 201215
17 201612
18 202011
19 201411
20 202411

About Ya Wu

Ya Wu is a scholar working on Organic Chemistry, Molecular Biology, Civil and Structural Engineering, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 44 papers that have together received 732 indexed citations. Recurring topics across this work include Asymmetric Synthesis and Catalysis (4 papers), Synthetic Organic Chemistry Methods (4 papers), Nanoplatforms for cancer theranostics (4 papers), Platelet Disorders and Treatments (3 papers), Catalytic C–H Functionalization Methods (3 papers), Photodynamic Therapy Research Studies (2 papers), Innovative concrete reinforcement materials (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Hematology (115 citations), Biochemistry (49 citations), Inorganic Chemistry (117 citations), Bioengineering (44 citations) and Critical Care and Intensive Care Medicine (32 citations). Ya Wu has collaborated with scholars based in China, Netherlands and Australia. Frequent co-authors include Yin‐Xia Sun, Shuzhen Zhang, Hongjia Zhang, Philip G. de Groot, W. M. Smid, Jan‐Willem N. Akkerman, Jack Levin, Jan W. ten Cate, Marcel M. Levi and Zhenlei Song. Their work appears in journals such as Organic Letters, Thrombosis Research, RSC Advances, Construction and Building Materials and Biomedical Materials.

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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