Marc Lake

42 total papers · 929 total citations
19 papers, 577 citations indexed

About

Marc Lake is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Marc Lake has authored 19 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology. Recurrent topics in Marc Lake's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Ion Channels and Receptors (5 papers) and Immunotherapy and Immune Responses (4 papers). Marc Lake is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Ion Channels and Receptors (5 papers) and Immunotherapy and Immune Responses (4 papers). Marc Lake collaborates with scholars based in United States, United Kingdom and Germany. Marc Lake's co-authors include Karl A. Walter, Chaohong Sun, Jun Chen, Jing Xu, Donghee Kim, Betty Yao, Dawon Kang, Victoria Scott, Danying Song and Paul L. Richardson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Marc Lake

19 papers receiving 568 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marc Lake	252	245	213	80	76	19	577
Lavanya Moparthi	190 0.8×	212 0.9×	318 1.5×	27 0.3×	14 0.2×	17	627
Navid Paknejad	181 0.7×	411 1.7×	162 0.8×	25 0.3×	24 0.3×	17	688
Anne‐Sophie Borowiec	141 0.6×	298 1.2×	268 1.3×	20 0.3×	13 0.2×	16	585
Yuliya Dobrydneva	85 0.3×	294 1.2×	123 0.6×	116 1.4×	7 0.1×	17	671
Toan D. Nguyen	98 0.4×	255 1.0×	33 0.2×	32 0.4×	24 0.3×	23	594
Kateryna Kondratska	77 0.3×	334 1.4×	184 0.9×	75 0.9×	7 0.1×	12	619
Vadim N. Dedov	114 0.5×	241 1.0×	120 0.6×	16 0.2×	20 0.3×	17	600
S. Skerratt	103 0.4×	313 1.3×	77 0.4×	31 0.4×	17 0.2×	19	553
Walter Blum	53 0.2×	190 0.8×	93 0.4×	96 1.2×	15 0.2×	25	502
Paige A. Winkler	107 0.4×	349 1.4×	207 1.0×	12 0.1×	27 0.4×	24	541

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-authorship network of co-authors of Marc Lake

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Lake. A scholar is included among the top collaborators of Marc Lake 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 Marc Lake. Marc Lake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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