Xi Long

1.2k citations
31 papers · 445 indexed · 1 hit paper · h-index 11
Topics
Genetic Mapping and Diversity in Plants and Animals (5 papers)Cancer-related molecular mechanisms research (5 papers)Nematode management and characterization studies (3 papers)

In The Last Decade

Xi Long

31 papers receiving 427 citations

Hit Papers

PandaOmics: An AI-Driven Platform for Therapeutic Target ...2024202620252024204060

Peers

Xi Long
Comparison fields: 5 of 83
  • Molecular Biology 252
  • Cancer Research 105
  • Computational Theory and Mathematics 54
  • Oncology 50
  • Genetics 46
Replace Ksenia Lezhnina with:
Ksenia Lezhnina United States
Muxue Tang China
Yanzhou Zhang Singapore
Lisa Dreßler United Kingdom
Romina Armando Argentina
Marcin Siatkowski Germany
Dimitra Repana United Kingdom
Joël Walicki Switzerland
Joel Nulsen United Kingdom
Oleg V. Chaika United States
Xi Long relative to Ksenia Lezhnina United States Ksenia Lezhnina's profile →
Citations per field
00.5×7.4×
Ksenia Lezhnina · 1×
Citations per year

Countries citing papers authored by Xi Long

Since Specialization
Citations

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

Fields of papers citing papers by Xi Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Long

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Long. A scholar is included among the top collaborators of Xi Long 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 Xi Long. Xi Long 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 2
2
PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discoverybreakdown →
65
3 1
4 6
5 19
6 3
7 59
8 7
9 14
10 2
11 10
12 6
13 10
14 23
15 7
16 11
17 10
18 43
19 37
20 27

About Xi Long

Xi Long is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 31 papers that have together received 445 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Cancer-related molecular mechanisms research (5 papers) and Nematode management and characterization studies (3 papers). The work is most often cited by research in Aging (17 citations), Health Informatics (13 citations) and Cancer Research (105 citations). Xi Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yun Ma, Hong Xue, Frank W. Pun, Feng Ren, Alex Zhavoronkov, Ivan V. Ozerov, Bonnie Hei Man Liu, Evgeny Izumchenko, Hoi-Wing Leung and Ju Wang. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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