John D. C. Lambert

1.6k citations
27 papers · 1.4k · h-index 16

Impact in

Papers in

John D. C. Lambert

27 papers receiving 1.3k citations

Peers

John D. C. Lambert
Comparison fields: 5 of 93
  • Pulmonary and Respiratory Medicine 631
  • Cellular and Molecular Neuroscience 285
  • Biomedical Engineering 674
  • Bioengineering 61
  • Materials Chemistry 410
Replace Sonja Hatz with:
Sonja Hatz Denmark
Lewis R. Makings United States
John P. Pooler United States
Victor E. Yushmanov United States
Valentina Rapozzi Italy
Beomsue Kim South Korea
Jesús González United States
Krishna Ghosh India
Wenjing Wang United States
Vladimir V. Cherny United States
John D. C. Lambert relative to Sonja Hatz Denmark Sonja Hatz's profile →
Citations per field
00.5×1.5×2.5×
Sonja Hatz · 1×
Citations per year

Countries citing papers authored by John D. C. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by John D. C. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. C. Lambert. 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 John D. C. Lambert. The network helps show where John D. C. Lambert may publish in the future.

Co-authors

The 25 scholars most cited alongside John D. C. Lambert, 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 John D. C. Lambert Line = papers co-authored together John D. C. Lambert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005385
2 2007232
3 2006120
4 200596
5 200861
6 200556
7 200455
8 199955
9 199944
10 199841
11 200737
12 200132
13 200724
14 199618
15 200817
16 200815
17 201014
18 200212
19 200412
20 199011

About John D. C. Lambert

John D. C. Lambert is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Cognitive Neuroscience, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Nanoplatforms for cancer theranostics (9 papers), Photodynamic Therapy Research Studies (9 papers), Ion channel regulation and function (7 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neural Engineering (4 papers), bioluminescence and chemiluminescence research (4 papers) and Porphyrin and Phthalocyanine Chemistry (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (631 citations), Cellular and Molecular Neuroscience (285 citations), Biomedical Engineering (674 citations), Bioengineering (61 citations) and Materials Chemistry (410 citations). John D. C. Lambert has collaborated with scholars based in Denmark, Japan and Czechia. Frequent co-authors include Peter R. Ogilby, John W. Snyder, Esben Skovsen, Sonja Hatz, Kimmo Jensen, Lars Poulsen, Morten S. Jensen, Mogens Myrup Andreasen, Toke Bek and Christian Aalkjær. Their work appears in journals such as Brain Research, Photochemistry and Photobiology, Journal of Neurophysiology, Journal of the American Chemical Society and Neuroscience.

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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