Sha Hao

2.7k citations
54 papers · 1.8k · h-index 21

Impact in

  • Nephrology top 5%
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 18
    • Acute Myeloid Leukemia Research 11
    • Renal and related cancers 6
    • Epigenetics and DNA Methylation 5

Sha Hao

51 papers receiving 1.8k citations

Peers

Sha Hao
Comparison fields: 5 of 98
  • Nephrology 195
  • Hematology 285
  • Obstetrics and Gynecology 178
  • Immunology 417
  • Cancer Research 274
Replace Yukinari Masuda with:
Yukinari Masuda Japan
Patrick Coit United States
Brian MacDonald United States
Bruno Casali Italy
Mónica Grafals United States
Christoffer Tandrup Nielsen Denmark
Tiffany Caza United States
Astrid De Vriese Belgium
Rashmi Sood United States
Thian Kui Tan Australia
Sha Hao relative to Yukinari Masuda Japan Yukinari Masuda's profile →
Citations per field
00.5×2×3×3.5×
Yukinari Masuda · 1×
Citations per year

Countries citing papers authored by Sha Hao

Since Specialization
Citations

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

Fields of papers citing papers by Sha Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011206
2 2014199
3 2009178
4 2012175
5 2007103
6 201097
7 201584
8 201482
9 202068
10 201564
11 201643
12 200841
13 201538
14 201437
15 201633
16 202130
17 201928
18 201427
19 201825
20 201925

About Sha Hao

Sha Hao is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Immune Cell Function and Interaction (13 papers), Acute Myeloid Leukemia Research (11 papers), Renal and related cancers (6 papers), Reproductive System and Pregnancy (5 papers), Immune cells in cancer (5 papers), Epigenetics and DNA Methylation (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Nephrology (195 citations), Hematology (285 citations), Obstetrics and Gynecology (178 citations), Immunology (417 citations) and Cancer Research (274 citations). Sha Hao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Youhua Liu, Fan Fan Hou, Jing Nie, Yayi Hou, Weichun He, Michaël Kahn, Junli Zhao, Yali Hu, Tao Cheng and Lili Zhou. Their work appears in journals such as Blood, Experimental Hematology, Journal of the American Society of Nephrology, Haematologica and Science China Life Sciences.

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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