Daniel P. Salem

31 total papers · 726 total citations
15 papers, 550 citations indexed

About

Daniel P. Salem is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Daniel P. Salem has authored 15 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Biomedical Engineering and 7 papers in Materials Chemistry. Recurrent topics in Daniel P. Salem's work include Advanced biosensing and bioanalysis techniques (6 papers), Carbon Nanotubes in Composites (5 papers) and Nanopore and Nanochannel Transport Studies (4 papers). Daniel P. Salem is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Carbon Nanotubes in Composites (5 papers) and Nanopore and Nanochannel Transport Studies (4 papers). Daniel P. Salem collaborates with scholars based in United States, South Korea and Germany. Daniel P. Salem's co-authors include Michael S. Strano, Sebastian Kruss, Gili Bisker, Emma Vander Ende, Xun Gong, Edward S. Boyden, Lela Vuković, Juyao Dong, Ji‐Young Ahn and Markita P. Landry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Oncology.

In The Last Decade

Daniel P. Salem

14 papers receiving 548 citations

Author Peers

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

Author						Papers	Cites
Daniel P. Salem	292	288	224	164	77	15	550
Moria Kwiat	172 0.6×	422 1.5×	176 0.8×	221 1.3×	101 1.3×	13	612
Yo‐Han Kim	148 0.5×	255 0.9×	186 0.8×	173 1.1×	37 0.5×	22	505
Raluca Voicu	248 0.8×	154 0.5×	93 0.4×	320 2.0×	44 0.6×	12	552
Anna Cattani‐Scholz	244 0.8×	156 0.5×	169 0.8×	290 1.8×	54 0.7×	30	594
Pavlo Gordiichuk	199 0.7×	194 0.7×	199 0.9×	114 0.7×	30 0.4×	14	596
Patrick C. Sims	136 0.5×	200 0.7×	233 1.0×	231 1.4×	26 0.3×	14	509
Brad L. Corso	169 0.6×	174 0.6×	203 0.9×	238 1.5×	23 0.3×	17	512
Ciril Reiner‐Rozman	157 0.5×	288 1.0×	243 1.1×	236 1.4×	49 0.6×	22	571
Boaz Vilozny	87 0.3×	333 1.2×	221 1.0×	120 0.7×	34 0.4×	16	578
Rajay Kumar	293 1.0×	111 0.4×	226 1.0×	139 0.8×	93 1.2×	17	591

Countries citing papers authored by Daniel P. Salem

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Salem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Salem

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Salem. A scholar is included among the top collaborators of Daniel P. Salem 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 P. Salem. Daniel P. Salem 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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