Yuping Xia

2.3k citations
25 papers · 1.8k · h-index 16

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Wound Healing and Treatments

Papers in

Yuping Xia

23 papers receiving 1.7k citations

Peers

Yuping Xia
Comparison fields: 5 of 110
  • Hematology 582
  • Rehabilitation 290
  • Genetics 252
  • Dermatology 158
  • Immunology 365
Replace Fumihide Ogawa with:
Fumihide Ogawa Japan
Jeannette Soria France
Gwo‐Shing Chen Taiwan
Huijuan Jiang China
Cecilia Grappone Italy
Kinji Ito Japan
Nicolò Costantino Brembilla Switzerland
Trudy McGarry Ireland
Olivier Hérault France
Yuping Xia relative to Fumihide Ogawa Japan Fumihide Ogawa's profile →
Citations per field
00.5×7.2×
Fumihide Ogawa · 1×
Citations per year

Countries citing papers authored by Yuping Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yuping Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001487
2 2003295
3 2000150
4 1999144
5 1999101
6 199997
7 200479
8 200176
9 200272
10 200070
11 201452
12 200046
13 199040
14 200040
15 202322
16 200016
17 20259
18 20232
19 20182
20 20222

About Yuping Xia

Yuping Xia is a scholar working on Molecular Biology, Rehabilitation, Hematology, Pulmonary and Respiratory Medicine and Genetics, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wound Healing and Treatments (7 papers), Platelet Disorders and Treatments (5 papers), Blood properties and coagulation (3 papers), Dermatologic Treatments and Research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Glycosylation and Glycoproteins Research (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Periodontal Regeneration and Treatments (2 papers). The work is most often cited by research in Hematology (582 citations), Rehabilitation (290 citations), Genetics (252 citations), Dermatology (158 citations) and Immunology (365 citations). Yuping Xia has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Junzhi Li, David J. Kuter, Amy M. Bertino, Thomas A. Mustoe, John A. Glaspy, Michael T. Roberts, Chun Yang, Donna Hylton, Baosheng Li and John S. Rudge. Their work appears in journals such as British Journal of Haematology, Blood, Gene, Transfusion and Plastic & Reconstructive 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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