Lingsha Zhou

772 citations
34 papers · 424 · h-index 12

Impact in

  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Multiple Myeloma Research and Treatments

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 34
    • Acute Myeloid Leukemia Research 21
    • Chronic Myeloid Leukemia Treatments 15
    • Multiple Myeloma Research and Treatments 4
    • Platelet Disorders and Treatments 2

Lingsha Zhou

34 papers receiving 423 citations

Peers

Lingsha Zhou
Comparison fields: 5 of 30
  • Genetics 377
  • Hematology 344
  • Rheumatology 138
  • Molecular Biology 214
  • Oncology 16
Replace Elisa Rumi with:
Elisa Rumi Italy
Klaudia Bagienski Austria
Blanka Kubešová Czechia
Rajmonda Fjerza Italy
Mira El-Khoury France
Gaëlle Vertenoeil Belgium
C Mannarelli Italy
Thitina Jimma United States
Montse Gómez Spain
Virginia M. Zaleskas United States
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Citations per field
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Citations per year

Countries citing papers authored by Lingsha Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Lingsha Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 201145
3 202130
4 202226
5 201624
6 201924
7 201721
8 202018
9 201318
10 201316
11 201815
12 201614
13 202111
14 20179
15 20179
16 20158
17 20186
18 20175
19 20155
20 20134

About Lingsha Zhou

Lingsha Zhou is a scholar working on Genetics, Hematology, Molecular Biology, Rheumatology and Nephrology, having authored 34 papers that have together received 424 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (34 papers), Acute Myeloid Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (15 papers), Kruppel-like factors research (8 papers), Eosinophilic Disorders and Syndromes (8 papers), Multiple Myeloma Research and Treatments (4 papers), Platelet Disorders and Treatments (2 papers) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Genetics (377 citations), Hematology (344 citations), Rheumatology (138 citations), Molecular Biology (214 citations) and Oncology (16 citations). Lingsha Zhou has collaborated with scholars based in United States, Slovenia and Australia. Frequent co-authors include Srđan Verstovšek, Hagop M. Kantarjian, Jörge E. Cortes, Sherry Pierce, Prithviraj Bose, Naval Daver, Deborah A. Thomas, Naveen Pemmaraju, Elias Jabbour and Sherry Pierce. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer, Leukemia Research and Acta Haematologica.

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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