Daniel H. Lin

13 papers receiving 1.1k citations

Daniel H. Lin's Hit Papers

The Structure of the Nuclear Pore Complex (An Update) 2019 · 340 citations
3400+2+4Years since publication100200300

Peers

Daniel H. Lin
Comparison fields: 5 of 73
  • Structural Biology 68
  • Virology 63
  • Molecular Biology 926
  • Cancer Research 106
  • Aging 11
Replace Martin Heidemann with:
Martin Heidemann Germany
Jasminka Boskovic Spain
Mikhaïl Grigoriev France
Tomoya Kujirai Japan
Lance D. Langston United States
Shinichi Machida Japan
Vesna Rapić-Otrin United States
Olexandr Dybkov Germany
Vlada Philimonenko Czechia
Gábor Pápai France
Daniel H. Lin relative to Martin Heidemann Germany Martin Heidemann's profile →
Citations per field
00.5×
Martin Heidemann · 1×
Citations per year

Countries citing papers authored by Daniel H. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel H. Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel H. Lin Line = papers co-authored together Daniel H. Lin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
The Structure of the Nuclear Pore Complex (An Update)
Hit paper breakdown →
2019340
2 2016184
3 2020159
4 201596
5 201583
6 201857
7 201355
8 201354
9 201245
10 201434
11 201229
12
Heterogeneous Force Chains in Cellularized Biopolymer Networks
20151
13 20161
14 20260

About Daniel H. Lin

Daniel H. Lin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Virology and Management Information Systems, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear Structure and Function (8 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (3 papers), Complement system in diseases (2 papers), Malaria Research and Control (2 papers), RNA modifications and cancer (2 papers), Big Data and Business Intelligence (1 paper) and Software Engineering Techniques and Practices (1 paper). The work is most often cited by research in Structural Biology (68 citations), Virology (63 citations), Molecular Biology (926 citations), Cancer Research (106 citations) and Aging (11 citations). Daniel H. Lin has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include André Hoelz, T. Stuwe, Niraj H. Tolia, Ferdinand Huber, Charlie Y. Shi, David P. Bartel, Benjamin Kleaveland, Leslie N. Collins, Ana R. Correia and Emily J. Rundlet. Their work appears in journals such as Science, Journal of Biological Chemistry, Journal of Molecular Biology, Nature Communications and Nature.

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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