Di Jiang

995 total citations
36 papers, 710 citations indexed

About

Di Jiang is a scholar working on Physiology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Di Jiang has authored 36 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 13 papers in Immunology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Di Jiang's work include Asthma and respiratory diseases (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and IL-33, ST2, and ILC Pathways (5 papers). Di Jiang is often cited by papers focused on Asthma and respiratory diseases (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and IL-33, ST2, and ILC Pathways (5 papers). Di Jiang collaborates with scholars based in United States, China and Belgium. Di Jiang's co-authors include Hong Wei Chu, Qun Wu, Richard J. Martin, Ou Chen, Qun Wu, Russell P. Bowler, Maisha N. Minor, Stephanie Case, Jyoti Thaikoottathil and Liwu Li and has published in prestigious journals such as Blood, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Di Jiang

36 papers receiving 696 citations

Peers

Di Jiang
Comparison fields: 5 of 102
  • Immunology 249
  • Physiology 230
  • Pulmonary and Respiratory Medicine 185
  • Molecular Biology 137
  • Epidemiology 114
Replace Pai-Chien Chou with:
Pai-Chien Chou Taiwan
Jake K. Nikota Canada
Bin Xie China
Brigita Šitkauskienė Lithuania
Toshihiko Kaise Japan
Nobuaki Hirota Canada
Maggie Lam Australia
Meiyo Tamaoka Japan
Jiann‐Jyh Lai United States
Wenlong Liu China
Pai-Chien Chou Taiwan View profile →
Citations per field, relative to Di Jiang
Di Jiang · 1×
Citations per year, relative to Di Jiang
Di Jiang · 1×

Countries citing papers authored by Di Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Di Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Di Jiang. A scholar is included among the top collaborators of Di Jiang 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 Di Jiang. Di Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 8
4 10
5 53
6 21
7 6
8 8
9 40
10 22
11 35
12 9
13
Jagged-1-HES-1 signaling inhibits the differentiation of TH17 cells via ROR gammat.
14
14 33
15 14
16 44
17
Analysis on passive smoking status of pregnant women
1
18 24
19 43
20 2

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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