Yan Xia

820 citations
33 papers · 684 · h-index 14

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

Yan Xia

31 papers receiving 646 citations

Peers

Yan Xia
Comparison fields: 5 of 81
  • Internal Medicine 56
  • Hematology 179
  • Cardiology and Cardiovascular Medicine 195
  • Genetics 73
  • Organic Chemistry 169
Replace Tsukasa Ishihara with:
Tsukasa Ishihara Japan
Thomas Antonsson Sweden
Michael J. Orwat United States
Fukushi Hirayama Japan
Margareta Elg Sweden
Christopher L. Heran United States
Takayasu Nagahara Japan
Satoshi Komoriya Japan
H Weisenberger Germany
Roger P. Dickinson United Kingdom
Yan Xia relative to Tsukasa Ishihara Japan Tsukasa Ishihara's profile →
Citations per field
00.5×4.7×
Tsukasa Ishihara · 1×
Citations per year

Countries citing papers authored by Yan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008226
2 2005114
3 200232
4 201826
5 201125
6 201623
7 201721
8 201721
9 201020
10 200020
11 200520
12 201816
13 201715
14 201014
15 201413
16 201212
17 20199
18 20217
19 20207
20 20177

About Yan Xia

Yan Xia is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Genetics, Organic Chemistry and Molecular Biology, having authored 33 papers that have together received 684 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Synthesis and Catalytic Reactions (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Traditional Chinese Medicine Analysis (2 papers), Synthetic Organic Chemistry Methods (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Internal Medicine (56 citations), Hematology (179 citations), Cardiology and Cardiovascular Medicine (195 citations), Genetics (73 citations) and Organic Chemistry (169 citations). Yan Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Samuel Chackalamannil, Madhu Chintala, William J. Greenlee, George Boykow, Ho-Sam Ahn, Jacqueline Agans-Fantuzzi, Yunsheng Hsieh, Stan Kurowski, Zhiyong Hu and Yuguang Wang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Medicine, ACS Medicinal Chemistry Letters, The American Journal of Chinese Medicine and Journal of Medicinal Chemistry.

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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