John Zhao

519 citations
24 papers · 397 · h-index 11

Impact in

    • Hematopoietic Stem Cell Transplantation
    • Mesenchymal stem cell research

Papers in

    • Orthopedic Surgery and Rehabilitation 8
    • Tissue Engineering and Regenerative Medicine 4
    • Congenital heart defects research 3

John Zhao

21 papers receiving 388 citations

Peers

John Zhao
Comparison fields: 5 of 73
  • Hematology 56
  • Genetics 51
  • Surgery 157
  • Developmental Biology 7
  • Rheumatology 44
Replace Takaaki Chin with:
Takaaki Chin Japan
Z Qu United States
Roby J. Jose Australia
Despoina M. Choumerianou Greece
Bunichiro Izumi Japan
Meaghan Stolk Germany
Bangliang Yin China
Jillian Mayer United States
Motoki Matsuki Japan
John Zhao relative to Takaaki Chin Japan Takaaki Chin's profile →
Citations per field
00.5×1.5×2.3×
Takaaki Chin · 1×
Citations per year

Countries citing papers authored by John Zhao

Since Specialization
Citations

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

Fields of papers citing papers by John Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201549
2 201945
3 201842
4 201939
5 201635
6 201634
7 201634
8 201321
9 201620
10 201211
11 201610
12 20099
13 20169
14 20179
15 20228
16 20226
17 20224
18 20074
19 20223
20 20222

About John Zhao

John Zhao is a scholar working on Surgery, Molecular Biology, Genetics, Orthopedics and Sports Medicine and Epidemiology, having authored 24 papers that have together received 397 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (8 papers), Foot and Ankle Surgery (5 papers), Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Tendon Structure and Treatment (3 papers), Dupuytren's Contracture and Treatments (3 papers), Congenital heart defects research (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Hematology (56 citations), Genetics (51 citations), Surgery (157 citations), Developmental Biology (7 citations) and Rheumatology (44 citations). John Zhao has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Joseph B. Moore, Marcin Wysoczynski, Brandon E. Earp, Philip Blazar, Roberto Bolli, Ariana N. Mora, Mateusz Adamiak, Ahmed Abdelbaset‐Ismail, Mariusz Z. Ratajczak and Christian Klemt. Their work appears in journals such as Blood, Foot & Ankle International, Stem Cells, British Journal of Haematology and Hand.

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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