Ping Ji

948 citations
67 papers · 709 indexed · h-index 16

Impact in

    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
    • Immune responses and vaccinations
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • Biosimilars and Bioanalytical Methods 6
    • Immune Cell Function and Interaction 5
    • Immunodeficiency and Autoimmune Disorders 5
    • T-cell and B-cell Immunology 4
    • Tuberculosis Research and Epidemiology 11

Ping Ji

64 papers receiving 694 citations

Peers

Ping Ji
Comparison fields: 5 of 111
  • Infectious Diseases 185
  • Immunology 183
  • Obstetrics and Gynecology 39
  • Pharmacology 34
  • Virology 18
Replace Padam Singh with:
Padam Singh India
Tewodros Shibabaw Ethiopia
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Ping Ji relative to Padam Singh India Padam Singh's profile →
Citations per field
00.5×4.5×
Padam Singh · 1×
Citations per year

Countries citing papers authored by Ping Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ping Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20252
4 20254
5 20248
6 20249
7 20237
8 20212
9 20191
10 201745
11 20177
12 20154
13 20149
14 201327
15 20122
16 201230
17 201222
18
A qualitative study on the reasons for pregnant women choosing cesarean section without medical indication
20063
19 20063
20 20056

About Ping Ji

Ping Ji is a scholar working on Immunology, Infectious Diseases, Otorhinolaryngology, Rheumatology and Immunology and Allergy, having authored 67 papers that have together received 709 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Mycobacterium research and diagnosis (7 papers), Biosimilars and Bioanalytical Methods (6 papers), Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Infectious Diseases (185 citations), Immunology (183 citations), Obstetrics and Gynecology (39 citations), Pharmacology (34 citations) and Virology (18 citations). Ping Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chandrahas Sahajwalla, Xiao‐Yong Fan, Erguang Li, Dennis M. Grasela, Yingying Chen, Sanjeev Kaul, Yaning Wang, Shuihua Lu, Ying Wang and Zhidong Hu. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Pharmaceutical Sciences, BMJ Open, Frontiers in Immunology and Frontiers in Cellular and Infection 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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