Hong Lin

3.5k total citations · 1 hit paper
50 papers, 2.6k citations indexed

About

Hong Lin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hong Lin has authored 50 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Hong Lin's work include Ubiquitin and proteasome pathways (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Cancer-related gene regulation (7 papers). Hong Lin is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Cancer-related gene regulation (7 papers). Hong Lin collaborates with scholars based in United States, China and Canada. Hong Lin's co-authors include Julie D. Forman‐Kay, Webster K. Cavenee, Frank B. Furnari, Huang Huang, P. Andrew Chong, Alaji Bah, Robert M. Vernon, Patrick Farber, Tae Hun Kim and Brian Tsang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hong Lin

47 papers receiving 2.5k citations

Hit Papers

Pi-Pi contacts are an overlooked protein feature relevant... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Hong Lin
Comparison fields: 5 of 115
  • Molecular Biology 2.2k
  • Oncology 366
  • Materials Chemistry 338
  • Cancer Research 260
  • Cell Biology 221
Replace Jianhua Zheng with:
Jianhua Zheng China
Julie A. Tucker United Kingdom
Frances M. G. Pearl United Kingdom
Maria Sunnerhagen Sweden
Yuh Min Chook United States
Christiane Garbay France
Huili Zhai United States
Xiang‐Lei Yang United States
Dominico Vigil United States
Jianhua Zheng China View profile →
Citations per field, relative to Hong Lin
Hong Lin · 1×
Citations per year, relative to Hong Lin
Hong Lin · 1×

Countries citing papers authored by Hong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Lin. A scholar is included among the top collaborators of Hong Lin 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 Lin. Hong Lin 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
# Work Indexed citations
1 0
2 5
3 5
4 19
5 25
6
Pi-Pi contacts are an overlooked protein feature relevant to phase separation breakdown →
587
7 22
8 19
9 11
10 21
11 30
12 10
13 9
14 67
15 28
16 284
17 81
18 20
19 69
20 26

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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