Daniel Lingwood

16.7k citations
63 papers · 7.6k indexed · 2 hit papers · h-index 27
Topics
Influenza Virus Research Studies (15 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)Immune Cell Function and Interaction (13 papers)

In The Last Decade

Daniel Lingwood

58 papers receiving 7.5k citations

Hit Papers

Lipid Rafts As a Membrane-Organizing Principle20092026201420202009201510002.0k3.0k

Peers

Daniel Lingwood
Comparison fields: 5 of 133
  • Molecular Biology 5.1k
  • Immunology 1.4k
  • Cell Biology 1.2k
  • Epidemiology 949
  • Infectious Diseases 948
Replace Chad A. Brautigam with:
Chad A. Brautigam United States
Robert V. Stahelin United States
Andreas Herrmann Germany
John L. Rubinstein Canada
Z. Hong Zhou United States
Karl Harlos United Kingdom
Steeve Boulant Germany
William C. Wimley United States
Christopher J. Oldfield United States
Shawn Zheng United States
Daniel Lingwood relative to Chad A. Brautigam United States Chad A. Brautigam's profile →
Citations per field
00.5×1.5×2.3×
Chad A. Brautigam · 1×
Citations per year

Countries citing papers authored by Daniel Lingwood

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lingwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lingwood

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lingwood. A scholar is included among the top collaborators of Daniel Lingwood 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 Daniel Lingwood. Daniel Lingwood 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 0
2 40
3 2
4 1
5 7
6 34
7 49
8 40
9 15
10 28
11 4
12 4
13 407
14
Influenza virus geometry shapes the immune response against it
0
15 57
16 212
17 34
18 173
19
Lipid Rafts As a Membrane-Organizing Principlebreakdown →
3470
20 38

About Daniel Lingwood

Daniel Lingwood is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 63 papers that have together received 7.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Immune Cell Function and Interaction (13 papers). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (5.1k citations) and Immunology (1.4k citations). Daniel Lingwood has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Kai Simons, Ilya Levental, Michał Grzybek, Ünal Coskun, Petra Schwille, Jonas Ries, Gary J. Nabel, Hadi M. Yassine, Patrick M. McTamney and Lawrence Rajendran. Their work appears in journals such as Nature, Science and Cell.

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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