Huihui Ma

1.7k citations
61 papers · 1.3k · h-index 22

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 11
    • Autoimmune and Inflammatory Disorders Research 3
    • Protease and Inhibitor Mechanisms 3

Huihui Ma

58 papers receiving 1.3k citations

Peers

Huihui Ma
Comparison fields: 5 of 97
  • Hematology 156
  • Cancer Research 188
  • Immunology 259
  • Animal Science and Zoology 101
  • Physiology 38
Replace Masayuki Shiota with:
Masayuki Shiota Japan
Maria Cristina Ripoli Italy
Liying Liu China
Maya C. Poffenberger Canada
Thomas C. Raissi Canada
H. Atakan Ekiz United States
Yong Fan United States
Neil S. Holden Canada
Ravi Kumar Gutti India
Huihui Ma relative to Masayuki Shiota Japan Masayuki Shiota's profile →
Citations per field
00.5×2×3×4.5×
Masayuki Shiota · 1×
Citations per year

Countries citing papers authored by Huihui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Huihui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017105
2 201967
3 201164
4 201960
5 201659
6 201853
7 201950
8 201649
9 200844
10 201744
11 202142
12 202241
13 201237
14 200937
15 202035
16 202132
17 202030
18 202229
19 201927
20 201826

About Huihui Ma

Huihui Ma is a scholar working on Hematology, Cancer Research, Immunology, Molecular Biology and Oncology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Protein Degradation and Inhibitors (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Glioma Diagnosis and Treatment (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Hematology (156 citations), Cancer Research (188 citations), Immunology (259 citations), Animal Science and Zoology (101 citations) and Physiology (38 citations). Huihui Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhiyou Fang, Xueran Chen, Markus Y. Mapara, Haoran Yang, Suzanne Lentzsch, Shangrong Zhang, Chenggang Zhao, Zhen Wang, Jing Fu and Fengxian Wei. Their work appears in journals such as Blood, Journal of Clinical Investigation, Frontiers in Endocrinology, International Journal of Molecular Medicine and World Journal of Pediatrics.

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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