Xinghuo Pang

2.4k citations
53 papers · 1.2k indexed · h-index 18
Topics
Influenza Virus Research Studies (13 papers)Hepatitis B Virus Studies (11 papers)Respiratory viral infections research (9 papers)

In The Last Decade

Xinghuo Pang

51 papers receiving 1.2k citations

Peers

Xinghuo Pang
Comparison fields: 5 of 127
  • Epidemiology 565
  • Infectious Diseases 395
  • Pulmonary and Respiratory Medicine 282
  • Modeling and Simulation 267
  • Oncology 138
Replace Karry L. K. Ngai with:
Karry L. K. Ngai Hong Kong
A. Danielle Iuliano United States
C. Cheng Hong Kong
Antonia Ho United Kingdom
Nicholas S. Kelley United States
Yugo Shobugawa Japan
Eric A. Meyerowitz United States
Xiaoli Wang China
Androula Pavli Greece
Xinghuo Pang relative to Karry L. K. Ngai Hong Kong Karry L. K. Ngai's profile →
Citations per field
00.5×3.8×
Karry L. K. Ngai · 1×
Citations per year

Countries citing papers authored by Xinghuo Pang

Since Specialization
Citations

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

Fields of papers citing papers by Xinghuo Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghuo Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghuo Pang. A scholar is included among the top collaborators of Xinghuo Pang 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 Xinghuo Pang. Xinghuo Pang 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
#WorkIndexed citations
1 1
2 0
3 2
4 3
5 7
6 10
7 5
8
[A community-based seroepidemiological survey of hepatitis B among adults in Chaoyang district, Beijing].
3
9
[Analysis of vaccination coverage of the elderly influenced by different family structures in Beijing].
2
10 63
11 21
12 14
13 208
14 101
15 23
16 28
17 57
18 39
19 17
20 60

About Xinghuo Pang

Xinghuo Pang is a scholar working on Hepatology, Modeling and Simulation and Epidemiology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Hepatitis B Virus Studies (11 papers) and Respiratory viral infections research (9 papers). The work is most often cited by research in Modeling and Simulation (267 citations), Infectious Diseases (395 citations) and Epidemiology (565 citations). Xinghuo Pang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Quanyi Wang, Peng Yang, Holly Seale, Weixian Shi, Yi Zhang, C. Raina MacIntyre, Zhanhai Gao, Bayzidur Rahman, Dominic E. Dwyer and Wei Duan. Their work appears in journals such as New England Journal of Medicine, JAMA and PLoS ONE.

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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