Grant M. Gonzalez

17 total papers · 1.1k total citations
13 papers, 836 citations indexed

About

Grant M. Gonzalez is a scholar working on Biomaterials, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Grant M. Gonzalez has authored 13 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 6 papers in Biomedical Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Grant M. Gonzalez's work include Electrospun Nanofibers in Biomedical Applications (6 papers), Silk-based biomaterials and applications (4 papers) and Advanced Materials and Mechanics (2 papers). Grant M. Gonzalez is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (6 papers), Silk-based biomaterials and applications (4 papers) and Advanced Materials and Mechanics (2 papers). Grant M. Gonzalez collaborates with scholars based in United States, Switzerland and Bulgaria. Grant M. Gonzalez's co-authors include Kevin Kit Parker, Christophe O. Chantre, Seungkuk Ahn, Luca Cera, Patrick Campbell, John F. Zimmerman, Luke A. MacQueen, Herdeline Ann M. Ardoña, Qihan Liu and Josue A. Goss and has published in prestigious journals such as Nature Materials, Biomaterials and Langmuir.

In The Last Decade

Grant M. Gonzalez

12 papers receiving 824 citations

Author Peers

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

Author						Papers	Cites
Grant M. Gonzalez	432	347	174	125	112	13	836
Maya Kaduri	437 1.0×	408 1.2×	104 0.6×	198 1.6×	125 1.1×	11	906
Nehar Celikkin	572 1.3×	236 0.7×	135 0.8×	80 0.6×	211 1.9×	19	780
Tejal V. Patil	531 1.2×	508 1.5×	61 0.4×	87 0.7×	87 0.8×	51	1.0k
Saeed Manouchehri	491 1.1×	411 1.2×	124 0.7×	94 0.8×	41 0.4×	11	1.0k
Luca Cera	214 0.5×	240 0.7×	43 0.2×	109 0.9×	76 0.7×	14	738
Matteo Gazzarri	502 1.2×	402 1.2×	116 0.7×	139 1.1×	153 1.4×	20	970
Joseph P. Park	288 0.7×	365 1.1×	148 0.9×	120 1.0×	24 0.2×	17	900
Onur Hasturk	387 0.9×	605 1.7×	69 0.4×	189 1.5×	49 0.4×	27	918
Shuxiang Cai	659 1.5×	270 0.8×	100 0.6×	63 0.5×	172 1.5×	27	1.0k
Eman A. Mady	261 0.6×	213 0.6×	120 0.7×	229 1.8×	39 0.3×	19	795

Countries citing papers authored by Grant M. Gonzalez

Since Specialization

Citations

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

Fields of papers citing papers by Grant M. Gonzalez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant M. Gonzalez. 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 Grant M. Gonzalez. The network helps show where Grant M. Gonzalez may publish in the future.

Co-authorship network of co-authors of Grant M. Gonzalez

This figure shows the co-authorship network connecting the top 25 collaborators of Grant M. Gonzalez. A scholar is included among the top collaborators of Grant M. Gonzalez 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 Grant M. Gonzalez. Grant M. Gonzalez 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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