Linlu Ma

5.0k citations
28 papers · 3.6k · 3 hit papers · h-index 11

Impact in

Papers in

Linlu Ma

28 papers receiving 3.6k citations

Linlu Ma's Hit Papers

Global burden of hematologic malignancies and evolution patterns over the past 30 years 2023 · 245 citations
2450+2+4Years since publication50010001.5k

Peers

Linlu Ma
Comparison fields: 5 of 175
  • Infectious Diseases 905
  • Modeling and Simulation 136
  • General Dentistry 44
  • Critical Care and Intensive Care Medicine 96
  • Neurology 287
Replace Hao Zi with:
Hao Zi China
Yinghui Jin China
Zhenyu Pan China
Zhiyong Peng China
Bo Hu China
Malcolm James Price United Kingdom
Zhaohui Tong China
Claire Hopkins United Kingdom
Máirín Ryan Ireland
Linlu Ma relative to Hao Zi China Hao Zi's profile →
Citations per field
00.5×2×2.8×
Hao Zi · 1×
Citations per year

Countries citing papers authored by Linlu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Linlu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version)
Hit paper breakdown →
20201684
2
Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better?
Hit paper breakdown →
20201316
3
Global burden of hematologic malignancies and evolution patterns over the past 30 years
Hit paper breakdown →
2023245
4 202089
5 201773
6 202341
7 201927
8 202124
9 202219
10 202015
11 202413
12 202310
13 20189
14 20228
15 20237
16 20246
17 20206
18 20195
19 20235
20 20224

About Linlu Ma

Linlu Ma is a scholar working on Hematology, Applied Microbiology and Biotechnology, Pulmonary and Respiratory Medicine, Urology and Oncology, having authored 28 papers that have together received 3.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (2 papers), COVID-19 Clinical Research Studies (2 papers), Urinary Bladder and Prostate Research (2 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers), Acute Myeloid Leukemia Research (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Infectious Diseases (905 citations), Modeling and Simulation (136 citations), General Dentistry (44 citations), Critical Care and Intensive Care Medicine (96 citations) and Neurology (287 citations). Linlu Ma has collaborated with scholars based in China, Denmark and Singapore. Frequent co-authors include Xinghuan Wang, Xian‐Tao Zeng, Hong Weng, Di Yan Huang, Zhihua Yang, Fuling Zhou, Nan Zhang, Xiaoyan Liu, Yuxing Liang and Xinqi Li. Their work appears in journals such as Frontiers in Pharmacology, BMC Cancer, Military Medical Research, ACS Sensors and Cell Reports Medicine.

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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