Ling Zhang

3.6k citations
113 papers · 1.8k indexed · 2 hit papers · h-index 18
Topics
Acute Myeloid Leukemia Research (51 papers)Chronic Myeloid Leukemia Treatments (23 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Ling Zhang

99 papers receiving 1.8k citations

Hit Papers

From SARS to MERS, Thrusting Coronaviruses into the Spotl...201920262021202320192023250500750

Peers

Ling Zhang
Comparison fields: 5 of 116
  • Infectious Diseases 673
  • Molecular Biology 403
  • Hematology 383
  • Oncology 301
  • Genetics 223
Replace Surakameth Mahasirimongkol with:
Surakameth Mahasirimongkol Thailand
E. Susan Amirian United States
Abigail Lamikanra United Kingdom
Pietro Andreoné Italy
Eva Schrezenmeier Germany
Dirk Jan A. R. Moes Netherlands
Bicheng Zhang China
Maria Effenberger Austria
Robert D. Siegel United States
Ling Zhang relative to Surakameth Mahasirimongkol Thailand Surakameth Mahasirimongkol's profile →
Citations per field
00.5×
Surakameth Mahasirimongkol · 1×
Citations per year

Countries citing papers authored by Ling Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Zhang. A scholar is included among the top collaborators of Ling Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Zhang. Ling Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 7
6 0
7 13
8 1
9 1
10 5
11 5
12 1
13 0
14 4
15 3
16 26
17 24
18
[Correlation of CD19 positive cell counts in bone marrow with therapeutic efficacy in patients with multiple myeloma].
1
19 41
20
[Quality evaluation of prepared slices of Paeonia lactiflon--determination of paeoniflorin by HPLC].
4

About Ling Zhang

Ling Zhang is a scholar working on Hematology, Genetics and Dermatology, having authored 113 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (51 papers), Chronic Myeloid Leukemia Treatments (23 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers). The work is most often cited by research in Infectious Diseases (673 citations), Hematology (383 citations) and Genetics (223 citations). Ling Zhang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Hua Zhu, Zhiqi Song, Yajin Qu, Pin Yü, Chuan Qin, Wenjie Zhao, Linlin Bao, Yanfeng Xu, Yunlin Han and Lubomir Sokol. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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