Hong Xin

776 citations
23 papers · 619 indexed · h-index 13
Topics
Antifungal resistance and susceptibility (15 papers)Fungal Infections and Studies (11 papers)Antimicrobial Peptides and Activities (5 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Hong Xin

23 papers receiving 603 citations

Peers

Hong Xin
Comparison fields: 5 of 64
  • Infectious Diseases 403
  • Epidemiology 322
  • Molecular Biology 230
  • Immunology 94
  • Organic Chemistry 75
Replace Leanne E. Lewis with:
Leanne E. Lewis United Kingdom
Raffaela Teloni Italy
Francine Aumont Canada
Daniela Adriani Italy
Olivier Gorgette France
Sabine Daugelat Germany
Valerie J. F. Quesniaux France
Wouter T. M. Jansen Netherlands
R A Calderone United States
Albel Singh United Kingdom
Hong Xin relative to Leanne E. Lewis United Kingdom Leanne E. Lewis's profile →
Citations per field
00.5×1.5×2.2×
Leanne E. Lewis · 1×
Citations per year

Countries citing papers authored by Hong Xin

Since Specialization
Citations

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

Fields of papers citing papers by Hong Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Xin. A scholar is included among the top collaborators of Hong Xin 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 Hong Xin. Hong Xin 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 1
3 1
4 5
5 2
6 9
7 2
8 12
9 12
10 47
11 22
12 17
13 10
14 2
15 64
16 61
17 23
18 186
19
[Changes of T-helper 1 and T-helper 2 ratio in peripheral blood and decidua in hypertensive disorder complicating pregnancy].
1
20 82

About Hong Xin

Hong Xin is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 23 papers that have together received 619 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (15 papers), Fungal Infections and Studies (11 papers) and Antimicrobial Peptides and Activities (5 papers). The work is most often cited by research in Infectious Diseases (403 citations), Microbiology (72 citations) and Epidemiology (322 citations). Hong Xin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jim E. Cutler, David R. Bundle, Sebastian Dziadek, Karen Eberle, Justin J. Bailey, Martha A. Wild, Mark R. Wallace, Toshiaki Maruyama, Katherine S. Bowdish and John D. Malone. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology 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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