Yana Li

1.5k citations
20 papers · 640 indexed · h-index 11
Topics
Immune Cell Function and Interaction (5 papers)Melanoma and MAPK Pathways (3 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
Partner nations
United StatesChinaPoland

In The Last Decade

Yana Li

20 papers receiving 632 citations

Peers

Yana Li
Comparison fields: 5 of 88
  • Molecular Biology 337
  • Immunology 246
  • Oncology 120
  • Cancer Research 54
  • Genetics 40
Replace Michael J. Pattison with:
Michael J. Pattison United Kingdom
Concetta Pietropaolo Italy
Toshitake Hirai Japan
David Calianese United States
Padmaja Gade United States
Chulbul M. Ahmed United States
Noriyuki Hirata Japan
Ian Daniels United Kingdom
Benjamin J. Stewart United Kingdom
Zheng-Hao Piao South Korea
Yana Li relative to Michael J. Pattison United Kingdom Michael J. Pattison's profile →
Citations per field
00.5×1.5×2.5×
Michael J. Pattison · 1×
Citations per year

Countries citing papers authored by Yana Li

Since Specialization
Citations

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

Fields of papers citing papers by Yana Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yana Li. A scholar is included among the top collaborators of Yana Li 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 Yana Li. Yana Li 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 4
2 3
3 4
4 4
5 14
6 29
7 8
8 1
9 103
10 30
11 101
12 1
13 13
14 41
15 49
16 1
17 115
18
[Cumulation and effect of chemokines and CD40L during blood storage--review].
1
19 107
20
Evaluation of salt resistance of cucumber at seed germination and rootstock-seedling stages
11

About Yana Li

Yana Li is a scholar working on Immunology, Toxicology and Biochemistry, having authored 20 papers that have together received 640 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Melanoma and MAPK Pathways (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Immunology (246 citations), Molecular Biology (337 citations) and Oncology (120 citations). Yana Li has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Poonam Tewary, Joost J. Oppenheim, De Yang, Gonzalo de la Rosa, Feng Wei, Michael Bustin, Zhihong Wang, Alan M. Krensky, Michael W. Finn and Carol Clayberger. Their work appears in journals such as Cell, Nature Communications 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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