Zhaolin Hua

2.8k citations
26 papers · 2.1k indexed · h-index 18
Topics
Immune Cell Function and Interaction (9 papers)Cellular transport and secretion (8 papers)T-cell and B-cell Immunology (8 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Zhaolin Hua

25 papers receiving 2.1k citations

Peers

Zhaolin Hua
Comparison fields: 5 of 99
  • Molecular Biology 1.3k
  • Cell Biology 789
  • Immunology 493
  • Cellular and Molecular Neuroscience 391
  • Oncology 162
Replace Xinsheng Gao with:
Xinsheng Gao United States
Christopher K. Rodesch United States
John C. Christianson United Kingdom
Cristina L. Ward United States
Krishna M. Vattem United States
Giovanna Clavarino France
Deborah A. Swing United States
Carmela Sidrauski United States
Nobuhiro Nakamura Japan
Dan Garza United States
Zhaolin Hua relative to Xinsheng Gao United States Xinsheng Gao's profile →
Citations per field
00.5×1.5×
Xinsheng Gao · 1×
Citations per year

Countries citing papers authored by Zhaolin Hua

Since Specialization
Citations

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

Fields of papers citing papers by Zhaolin Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaolin Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaolin Hua. A scholar is included among the top collaborators of Zhaolin Hua 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 Zhaolin Hua. Zhaolin Hua 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 0
2 5
3 5
4 4
5 1
6 215
7 44
8 203
9 60
10 129
11 74
12
Effects of goat placental immunoregulatory factor on non-specific immunity of mice.
2
13 46
14 329
15 73
16 88
17 82
18 143
19 217
20 15

About Zhaolin Hua

Zhaolin Hua is a scholar working on Aging, Immunology and Cell Biology, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Cellular transport and secretion (8 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Cell Biology (789 citations), Aging (71 citations) and Immunology (493 citations). Zhaolin Hua has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Todd R. Graham, Baidong Hou, Robert H. Edwards, Susan M. Voglmaier, Doris L. Fortin, Roger A. Nicoll, Kaiwen Kam, Hua Yang, Ke Liu and Paramasivam Natarajan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Experimental Medicine.

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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