Jian‐Da Ma

886 citations
38 papers · 671 indexed · h-index 15

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Rheumatoid Arthritis Research and Therapies 23
    • Systemic Lupus Erythematosus Research 8
    • Musculoskeletal synovial abnormalities and treatments 4
    • Hepatitis C virus research 7

Jian‐Da Ma

35 papers receiving 664 citations

Peers

Jian‐Da Ma
Comparison fields: 5 of 74
  • Rheumatology 293
  • Hepatology 94
  • Hematology 95
  • Nephrology 37
  • Epidemiology 170
Replace Ying‐Qian Mo with:
Ying‐Qian Mo China
Dong-Hui Zheng China
In Ah Choi South Korea
Giuseppe Aimo Italy
Philip Ruiz United States
Luis Enrique Montiel Llorente Mexico
S. Marzouk Tunisia
Joanne Lopes Portugal
B.H. Rovin United States
Yutaka Furumitsu Japan
Jian‐Da Ma relative to Ying‐Qian Mo China Ying‐Qian Mo's profile →
Citations per field
00.5×1.5×
Ying‐Qian Mo · 1×
Citations per year

Countries citing papers authored by Jian‐Da Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Da Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019113
2 201785
3 201468
4 201955
5 201937
6 201535
7 201433
8 201925
9 201421
10 202220
11 201420
12 201319
13 202214
14 201814
15 202114
16 202211
17 201811
18 202111
19 202011
20 201810

About Jian‐Da Ma

Jian‐Da Ma is a scholar working on Rheumatology, Hepatology, Nephrology, Hematology and Orthopedics and Sports Medicine, having authored 38 papers that have together received 671 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (23 papers), Autoimmune and Inflammatory Disorders Research (9 papers), Systemic Lupus Erythematosus Research (8 papers), Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (6 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Musculoskeletal synovial abnormalities and treatments (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Rheumatology (293 citations), Hepatology (94 citations), Hematology (95 citations), Nephrology (37 citations) and Epidemiology (170 citations). Jian‐Da Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lie Dai, Ying‐Qian Mo, Dong-Hui Zheng, Le‐Feng Chen, Jun Jing, Qianhua Li, Tao Yan, Ky‐Anh Nguyen, Jinlong Gao and Jingjing Zhou. Their work appears in journals such as Arthritis Research & Therapy, Clinical Rheumatology, Frontiers in Immunology, PeerJ and Therapeutic Advances in Musculoskeletal Disease.

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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