Hao Shi

4.3k citations
73 papers · 2.4k indexed · 4 hit papers · h-index 27
Topics
Muscle Physiology and Disorders (15 papers)Immune Cell Function and Interaction (14 papers)T-cell and B-cell Immunology (10 papers)

In The Last Decade

Hao Shi

71 papers receiving 2.4k citations

Hit Papers

Lipid signalling enforces functional specialization of Tr...2021202620222024202120232023202550100150200250

Peers

Hao Shi
Comparison fields: 5 of 115
  • Molecular Biology 1.1k
  • Immunology 801
  • Oncology 382
  • Cancer Research 354
  • Physiology 328
Replace Blanca Camoretti-Mercado with:
Blanca Camoretti-Mercado United States
Minna Woo Canada
Hiroyuki Hirai Japan
Dorina Avram United States
Akula Bala Pramod United States
Yasuyuki Kitaura Japan
Marco van Eijk Netherlands
Vanesa Muncan Netherlands
Esta Sterneck United States
Yuki Sugiyama Japan
Hao Shi relative to Blanca Camoretti-Mercado United States Blanca Camoretti-Mercado's profile →
Citations per field
00.5×10×16×
Blanca Camoretti-Mercado · 1×
Citations per year

Countries citing papers authored by Hao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Shi. A scholar is included among the top collaborators of Hao Shi 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 Hao Shi. Hao Shi 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
VDAC2 loss elicits tumour destruction and inflammation for cancer therapybreakdown →
17
2 2
3 22
4 7
5
SLC38A2 and glutamine signalling in cDC1s dictate anti-tumour immunitybreakdown →
154
6 8
7 3
8 48
9
Lipid signalling enforces functional specialization of Treg cells in tumoursbreakdown →
286
10 4
11 95
12 23
13 39
14 25
15 87
16 35
17 15
18 27
19 6
20 31

About Hao Shi

Hao Shi is a scholar working on Aging, Geriatrics and Gerontology and Sensory Systems, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Immunology (801 citations), Cancer Research (354 citations) and Aging (35 citations). Hao Shi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hongbo Chi, Yogesh Dhungana, Nicole M. Chapman, David E. Gerrard, Jordy Saravia, Seon Ah Lim, Peter Vogel, Gustavo Palacios, Lingyun Long and Jun Wei. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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