Lin Kang

8.1k citations
227 papers · 4.8k indexed · h-index 34
Topics
Cancer-related molecular mechanisms research (17 papers)Toxin Mechanisms and Immunotoxins (16 papers)RNA modifications and cancer (12 papers)
Partner nations
ChinaUnited StatesIsrael

In The Last Decade

Lin Kang

215 papers receiving 4.8k citations

Peers

Lin Kang
Comparison fields: 5 of 162
  • Molecular Biology 2.3k
  • Cancer Research 1.2k
  • Infectious Diseases 560
  • Immunology 557
  • Epidemiology 490
Replace Steven R. Head with:
Steven R. Head United States
Yu Zhou China
Alper Küçükural United States
B. Robert Franza United States
Atsushi Takeda Japan
Björn Olde Sweden
Timothy W. Nilsen United States
Vinod Scaria India
Thottethodi Subrahmanya Keshava Prasad India
Christopher Wilson United States
Lin Kang relative to Steven R. Head United States Steven R. Head's profile →
Citations per field
00.5×1.5×2.0×
Steven R. Head · 1×
Citations per year

Countries citing papers authored by Lin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Kang. A scholar is included among the top collaborators of Lin Kang 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 Lin Kang. Lin Kang 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 0
4 5
5 1
6 1
7 15
8 29
9
Expression Profile of GINS Complex Predicts the Prognosis of Pancreatic Cancer Patients
1
10
Bioinformatics Analysis Identifies a Novel Role of GINS1 Gene in Colorectal Cancer
0
11 15
12
Discussion on the informative teaching mode of the elective course of packaging design for medical plant products.
0
13 43
14 31
15
Identification of critically carcinogenesis-related genes in basal cell carcinoma
0
16 12
17 5
18 4
19 6
20
ETIOLOGICAL STUDIES OF YELLOW SHOOT OF CITRUS
12

About Lin Kang

Lin Kang is a scholar working on Cancer Research, Immunology and Virology, having authored 227 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Toxin Mechanisms and Immunotoxins (16 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Virology (467 citations), Cancer Research (1.2k citations) and Molecular Biology (2.3k citations). Lin Kang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Shibo Jiang, Yuqin Pan, A. R. Neurath, Huiling Sun, Shukui Wang, Bangshun He, Pawel Michalak, N. Strick, Tao Xu and Xiaoxiang Chen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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