Yu Jing

1.0k citations
74 papers · 667 indexed · h-index 15

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 44
    • Hematopoietic Stem Cell Transplantation 14
    • Chronic Myeloid Leukemia Treatments 13
    • Chronic Lymphocytic Leukemia Research 7

Yu Jing

63 papers receiving 665 citations

Peers

Yu Jing
Comparison fields: 5 of 68
  • Hematology 443
  • Genetics 127
  • Cancer Research 135
  • Molecular Biology 301
  • Immunology 78
Replace Anna Grazia Recchia with:
Anna Grazia Recchia Italy
Marie Sébert France
Ying‐Wei Lin Japan
F. Messa Italy
W.-K. Hofmann Germany
Ivan Pašić Canada
Amer M. Zeidan United States
Isabelle Luquet France
Jennifer N. Saultz United States
Paola Panetta Italy
Yu Jing relative to Anna Grazia Recchia Italy Anna Grazia Recchia's profile →
Citations per field
00.5×1.5×2.3×
Anna Grazia Recchia · 1×
Citations per year

Countries citing papers authored by Yu Jing

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 202310
4 20231
5 20230
6 20211
7 202113
8 20218
9 202037
10 201775
11 20171
12 201723
13 201630
14 20168
15 201613
16 201510
17 20143
18 201266
19 201225
20
Diagnostic significance of combined detection of serum anti cyclic citrullinated-peptide antibody and rheumatoid factor in rheumatoid arthritis
20091

About Yu Jing

Yu Jing is a scholar working on Hematology, Genetics, Emergency Medicine, Cancer Research and Oncology, having authored 74 papers that have together received 667 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (44 papers), Hematopoietic Stem Cell Transplantation (14 papers), Chronic Myeloid Leukemia Treatments (13 papers), Acute Lymphoblastic Leukemia research (13 papers), Hematological disorders and diagnostics (8 papers), Histone Deacetylase Inhibitors Research (8 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Neutropenia and Cancer Infections (7 papers). The work is most often cited by research in Hematology (443 citations), Genetics (127 citations), Cancer Research (135 citations), Molecular Biology (301 citations) and Immunology (78 citations). Yu Jing has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Li Yu, Liping Dou, Yonghui Li, Lili Wang, Na Lv, Qingyu Xu, Sai Huang, Wenrong Huang, Yan Li and Jian Bo. Their work appears in journals such as Oncotarget, Transfusion, Annals of Hematology, Bone Marrow Transplantation and PLoS ONE.

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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