Shaobin Shang

2.2k citations
55 papers · 1.4k · h-index 23

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 16
    • Viral gastroenteritis research and epidemiology 12
    • Immune Cell Function and Interaction 9

Shaobin Shang

51 papers receiving 1.3k citations

Peers

Shaobin Shang
Comparison fields: 5 of 93
  • Infectious Diseases 801
  • Animal Science and Zoology 384
  • Immunology 427
  • Epidemiology 444
  • Agronomy and Crop Science 100
Replace Zhiyong Ma with:
Zhiyong Ma China
Kunfeng Sun China
J. Gómez‐Laguna Spain
Ying Ma China
John L. VanCott United States
Hermann Unger Austria
Dalius J. Briedis Canada
Hye Kwon Kim South Korea
Giuseppe Pisanelli Italy
Christine A. Jansen Netherlands
Shaobin Shang relative to Zhiyong Ma China Zhiyong Ma's profile →
Citations per field
00.5×2.8×
Zhiyong Ma · 1×
Citations per year

Countries citing papers authored by Shaobin Shang

Since Specialization
Citations

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

Fields of papers citing papers by Shaobin Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008116
2 201094
3 201187
4 200571
5 201270
6 201065
7 201158
8 200653
9 200348
10 202045
11 201145
12 200743
13 201542
14 201741
15 201140
16 201039
17 201138
18 200438
19 201832
20 202129

About Shaobin Shang

Shaobin Shang is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Epidemiology and Agronomy and Crop Science, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (17 papers), Tuberculosis Research and Epidemiology (16 papers), Viral gastroenteritis research and epidemiology (12 papers), Mycobacterium research and diagnosis (11 papers), Animal Disease Management and Epidemiology (10 papers), Immune Cell Function and Interaction (9 papers), Virus-based gene therapy research (6 papers) and Vector-Borne Animal Diseases (6 papers). The work is most often cited by research in Infectious Diseases (801 citations), Animal Science and Zoology (384 citations), Immunology (427 citations), Epidemiology (444 citations) and Agronomy and Crop Science (100 citations). Shaobin Shang has collaborated with scholars based in China, United States and Maldives. Frequent co-authors include Diane Ordway, Marcela Henao‐Tamayo, Ian M. Orme, Jiyong Zhou, Crystal A. Shanley, Randall J. Basaraba, Scott M. Irwin, Yi Yang, Xiaoli Hao and David F. Ackart. Their work appears in journals such as Tuberculosis, Frontiers in Immunology, Journal of Virology, Clinical and Vaccine Immunology and Frontiers 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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