Fengling Mi

458 total citations
10 papers, 332 citations indexed

About

Fengling Mi is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Fengling Mi has authored 10 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Fengling Mi's work include Tuberculosis Research and Epidemiology (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers) and Infectious Diseases and Tuberculosis (3 papers). Fengling Mi is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers) and Infectious Diseases and Tuberculosis (3 papers). Fengling Mi collaborates with scholars based in China, France and United Kingdom. Fengling Mi's co-authors include Yan Lin, Anthony Harries, Jian Du, L. Li, Bing Liang, Rony Zachariah, Shouyong Tan, Anil Kapur, Knut Lönnroth and Sven Gudmund Hinderaker and has published in prestigious journals such as PLoS ONE, BMC Infectious Diseases and Tropical Medicine & International Health.

In The Last Decade

Fengling Mi

10 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fengling Mi China 8 300 252 162 24 17 10 332
Jerard Maria Selvam India 5 233 0.8× 186 0.7× 111 0.7× 18 0.8× 18 1.1× 8 290
W.J. Lew South Korea 11 330 1.1× 270 1.1× 184 1.1× 10 0.4× 12 0.7× 19 413
Nils E. Billo Switzerland 6 128 0.4× 102 0.4× 66 0.4× 13 0.5× 19 1.1× 8 204
S.J. Kim South Korea 8 321 1.1× 256 1.0× 182 1.1× 8 0.3× 13 0.8× 8 395
Rogelio Montero-Campos Mexico 10 417 1.4× 348 1.4× 238 1.5× 10 0.4× 4 0.2× 15 460
Ouafae Lahlou Morocco 12 329 1.1× 276 1.1× 160 1.0× 4 0.2× 12 0.7× 17 378
N Charles India 5 249 0.8× 191 0.8× 83 0.5× 6 0.3× 10 0.6× 12 292
Fabíola Karla Ribeiro Brazil 9 284 0.9× 238 0.9× 120 0.7× 8 0.3× 14 0.8× 11 341
N. V. Co Vietnam 9 304 1.0× 250 1.0× 140 0.9× 18 0.8× 28 1.6× 11 333
Nils Billo Switzerland 6 126 0.4× 99 0.4× 51 0.3× 11 0.5× 21 1.2× 15 166

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-authorship network of co-authors of Fengling Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Fengling Mi. A scholar is included among the top collaborators of Fengling Mi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengling Mi. Fengling Mi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Liu, Yuan-Yuan, Weicong Ren, Wei Wang, et al.. (2023). Real-time recombinase-aided amplification assay for rapid amplification of the IS1081 gene of Mycobacterium tuberculosis. European Journal of Clinical Microbiology & Infectious Diseases. 42(8). 963–972. 5 indexed citations
2.
3.
Du, Jian, Yu Pang, Yan Ma, et al.. (2017). Prevalence of tuberculosis among health care workers in tuberculosis specialized hospitals in China. Journal of Occupational Health. 59(3). 292–295. 8 indexed citations
4.
Du, Jian, Emilio Dirlikov, Yu Pang, et al.. (2015). Tuberculosis Hospitalization Fees and Bed Utilization in China from 1999 to 2009: The Results of a National Survey of Tuberculosis Specialized Hospitals. PLoS ONE. 10(10). e0139901–e0139901. 12 indexed citations
5.
Lin, Yan, Anh L. Innes, Lin Xu, et al.. (2015). Screening of patients with Diabetes Mellitus for Tuberculosis in Community Health Settings in China. Tropical Medicine & International Health. 20(8). 1073–1080. 13 indexed citations
6.
Du, Jian, Yu Pang, Yuhong Liu, et al.. (2014). Survey of Tuberculosis Hospitals in China: Current Status and Challenges. PLoS ONE. 9(11). e111945–e111945. 18 indexed citations
7.
Mi, Fengling, Guanglu Jiang, Jian Du, et al.. (2014). Is resistance to anti-tuberculosis drugs associated with type 2 diabetes mellitus? A register review in Beijing, China. Global Health Action. 7(1). 24022–24022. 21 indexed citations
8.
Mi, Fengling, Shouyong Tan, Li Liang, et al.. (2013). Diabetes mellitus and tuberculosis: pattern of tuberculosis, two‐month smear conversion and treatment outcomes in Guangzhou, China. Tropical Medicine & International Health. 18(11). 1379–1385. 63 indexed citations
9.
Lin, Yan, L. Li, Fengling Mi, et al.. (2012). Screening patients with Diabetes Mellitus for Tuberculosis in China. Tropical Medicine & International Health. 17(10). 1302–1308. 80 indexed citations
10.
Li, L., Yan Lin, Fengling Mi, et al.. (2012). Screening of patients with tuberculosis for diabetes mellitus in China. Tropical Medicine & International Health. 17(10). 1294–1301. 106 indexed citations

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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