Daniel P. Sawyer

14 total papers · 716 total citations
6 papers, 404 citations indexed

About

Daniel P. Sawyer is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Daniel P. Sawyer has authored 6 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Ecology. Recurrent topics in Daniel P. Sawyer's work include Microfluidic and Capillary Electrophoresis Applications (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Bacteriophages and microbial interactions (2 papers). Daniel P. Sawyer is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Bacteriophages and microbial interactions (2 papers). Daniel P. Sawyer collaborates with scholars based in United States and France. Daniel P. Sawyer's co-authors include Mikhail G. Shapiro, Arash Farhadi, Raymond W. Bourdeau, Audrey Lee‐Gosselin, David Maresca, Zhiyang Jin, Dina Malounda, Anupama Lakshmanan, Suchita P. Nety and Guillaume Renaud and has published in prestigious journals such as Science, Nature Biotechnology and Nature Methods.

In The Last Decade

Daniel P. Sawyer

6 papers receiving 403 citations

Author Peers

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

Author						Papers	Cites
Daniel P. Sawyer	293	112	63	53	49	6	404
Marjorie T. Buss	271 0.9×	106 0.9×	22 0.3×	36 0.7×	127 2.6×	9	409
Jaber Malekzadeh‐Najafabadi	237 0.8×	72 0.6×	69 1.1×	39 0.7×	44 0.9×	9	342
Lael Cheung	157 0.5×	124 1.1×	37 0.6×	47 0.9×	20 0.4×	8	350
Anja Stelzl	130 0.4×	158 1.4×	38 0.6×	32 0.6×	8 0.2×	8	362
Dan I. Piraner	176 0.6×	239 2.1×	20 0.3×	14 0.3×	65 1.3×	8	429
Harold E. Frey	74 0.3×	297 2.7×	36 0.6×	46 0.9×	40 0.8×	10	435
Nadav Ben‐Dov	93 0.3×	143 1.3×	132 2.1×	24 0.5×	16 0.3×	12	353
Zhenning Cao	257 0.9×	172 1.5×	8 0.1×	26 0.5×	77 1.6×	13	419
Izaskun Echabe	60 0.2×	235 2.1×	26 0.4×	35 0.7×	18 0.4×	8	370
Josette Ricker	126 0.4×	124 1.1×	19 0.3×	69 1.3×	8 0.2×	8	435

Countries citing papers authored by Daniel P. Sawyer

Since Specialization

Citations

This map shows the geographic impact of Daniel P. Sawyer'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. Sawyer 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. Sawyer more than expected).

Fields of papers citing papers by Daniel P. Sawyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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