Fengling Mi

458 citations
10 papers · 332 · h-index 8

Impact in

    • Tuberculosis Research and Epidemiology
  • Epidemiology top 10%
    • Pneumocystis jirovecii pneumonia detection and treatment
    • Chronic Disease Management Strategies
    • Pneumonia and Respiratory Infections
    • Mycobacterium research and diagnosis

Papers in

    • Tuberculosis Research and Epidemiology 9
    • Pneumocystis jirovecii pneumonia detection and treatment 7
    • Pneumonia and Respiratory Infections 2

Fengling Mi

10 papers receiving 323 citations

Peers

Fengling Mi
Comparison fields: 5 of 48
  • Infectious Diseases 300
  • Epidemiology 252
  • Surgery 162
  • Finance 24
  • Health Information Management 6
Replace W.J. Lew with:
W.J. Lew South Korea
Jerard Maria Selvam India
S.J. Kim South Korea
Rogelio Montero-Campos Mexico
Nils E. Billo Switzerland
K Laserson United States
Jainaba Sillah Gambia
N. V. Co Vietnam
Ouafae Lahlou Morocco
Ikushi Onozaki Switzerland
Fengling Mi relative to W.J. Lew South Korea W.J. Lew's profile →
Citations per field
00.5×3.1×
W.J. Lew · 1×
Citations per year

Countries citing papers authored by Fengling Mi

Since Specialization
Citations

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

Fields of papers citing papers by Fengling Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2012106
2 201280
3 201363
4 201421
5 201418
6 201513
7 201512
8 20178
9 20176
10 20235

About Fengling Mi

Fengling Mi is a scholar working on Infectious Diseases, Epidemiology, Surgery, Pediatrics, Perinatology and Child Health and Finance, having authored 10 papers that have together received 332 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Infectious Diseases and Tuberculosis (3 papers), Diagnosis and treatment of tuberculosis (2 papers), Global Maternal and Child Health (2 papers), Healthcare Systems and Reforms (2 papers), Pneumonia and Respiratory Infections (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (300 citations), Epidemiology (252 citations), Surgery (162 citations), Finance (24 citations) and Health Information Management (6 citations). Fengling Mi has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Yan Lin, Anthony Harries, L. Li, Jian Du, Shouyong Tan, Knut Lönnroth, Rony Zachariah, Anil Kapur, Bing Liang and Sven Gudmund Hinderaker. Their work appears in journals such as Tropical Medicine & International Health, PLoS ONE, European Journal of Clinical Microbiology & Infectious Diseases, Global Health Action and BMC Infectious Diseases.

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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