Lang Bao

543 citations
34 papers · 429 · h-index 13

Impact in

    • Tuberculosis Research and Epidemiology
    • Immunodeficiency and Autoimmune Disorders
    • Immune responses and vaccinations

Papers in

Lang Bao

34 papers receiving 418 citations

Peers

Lang Bao
Comparison fields: 5 of 48
  • Infectious Diseases 293
  • Immunology 130
  • Parasitology 41
  • Epidemiology 187
  • Molecular Medicine 29
Replace Sang-Nae Cho with:
Sang-Nae Cho South Korea
Izaíra Tincani Brandão Brazil
Martín López Peru
C. Patrick McAtee United States
María Verónica Bianco Argentina
Simon Frédéric Dufresne Canada
Cherise P. Scott United States
Synthia K. Furney United States
Olga Gil Spain
Jasmin A. Burgos Japan
Lang Bao relative to Sang-Nae Cho South Korea Sang-Nae Cho's profile →
Citations per field
00.5×2×3×3.7×
Sang-Nae Cho · 1×
Citations per year

Countries citing papers authored by Lang Bao

Since Specialization
Citations

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

Fields of papers citing papers by Lang Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200349
2 201339
3 202136
4 201435
5 201623
6 200922
7 201821
8 201121
9 201516
10 201116
11 201714
12 201013
13 201013
14 201711
15 201711
16 201610
17 201710
18 20109
19 20139
20 20187

About Lang Bao

Lang Bao is a scholar working on Infectious Diseases, Parasitology, Immunology, Epidemiology and Molecular Medicine, having authored 34 papers that have together received 429 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (10 papers), Immunodeficiency and Autoimmune Disorders (8 papers), Leptospirosis research and findings (7 papers), Immune responses and vaccinations (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Diagnosis and treatment of tuberculosis (2 papers). The work is most often cited by research in Infectious Diseases (293 citations), Immunology (130 citations), Parasitology (41 citations), Epidemiology (187 citations) and Molecular Medicine (29 citations). Lang Bao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Huidong Zhang, Dandan Huang, Tāo Luò, Dan Liao, Xiaoying Wang, Wei Chen, Dongqing Gu, Changfeng Sun, Guoping Yang and Xiaoqian Zhai. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Microbial Pathogenesis, Medical Microbiology and Immunology, Human Vaccines & Immunotherapeutics and Research in Microbiology.

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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