Marc Lake

946 citations
19 papers · 586 · h-index 12

Impact in

Papers in

Marc Lake

19 papers receiving 577 citations

Peers

Marc Lake
Comparison fields: 5 of 86
  • Sensory Systems 213
  • Cellular and Molecular Neuroscience 243
  • Biochemistry 41
  • Complementary and alternative medicine 29
  • Radiology, Nuclear Medicine and Imaging 75
Replace S. Skerratt with:
S. Skerratt United Kingdom
Robert M. Nwokonko United States
Isabella Maiellaro Germany
Leanne Pedi United States
Chanhyung Bae United States
Eman Alshawaf Kuwait
Woo-Young Choi United States
Kevin W. Huynh United States
Cunnigaiper D. Bhanumathy United States
Melinda M. Diver United States
Marc Lake relative to S. Skerratt United Kingdom S. Skerratt's profile →
Citations per field
00.5×4.4×
S. Skerratt · 1×
Citations per year

Countries citing papers authored by Marc Lake

Since Specialization
Citations

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

Fields of papers citing papers by Marc Lake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013195
2 2007117
3 200751
4 201942
5 201134
6 200628
7 201921
8 201919
9 201716
10 200813
11 199812
12 199611
13 202210
14 20178
15 20103
16 20112
17 20242
18 20231
19 20181

About Marc Lake

Marc Lake is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Sensory Systems and Immunology, having authored 19 papers that have together received 586 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Ion Channels and Receptors (5 papers), Receptor Mechanisms and Signaling (3 papers), Immunotherapy and Immune Responses (3 papers), Chemokine receptors and signaling (3 papers), Neurobiology and Insect Physiology Research (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Postharvest Quality and Shelf Life Management (2 papers). The work is most often cited by research in Sensory Systems (213 citations), Cellular and Molecular Neuroscience (243 citations), Biochemistry (41 citations), Complementary and alternative medicine (29 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). Marc Lake has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Karl A. Walter, Chaohong Sun, Jun Chen, Jing Xu, Betty Yao, Dawon Kang, Donghee Kim, Victoria Scott, Danying Song and Paul L. Richardson. Their work appears in journals such as SLAS DISCOVERY, mAbs, Nature Communications, Molecular Pharmacology and PLoS ONE.

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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