Johnathan C. Maza

31 total papers · 453 total citations
17 papers, 351 citations indexed

About

Johnathan C. Maza is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Johnathan C. Maza has authored 17 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organic Chemistry, 11 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Johnathan C. Maza's work include Chemical Synthesis and Analysis (9 papers), Click Chemistry and Applications (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Johnathan C. Maza is often cited by papers focused on Chemical Synthesis and Analysis (9 papers), Click Chemistry and Applications (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Johnathan C. Maza collaborates with scholars based in United States, Australia and Japan. Johnathan C. Maza's co-authors include Matthew B. Francis, Douglas D. Young, Alan M. Marmelstein, Marco Lobba, Daniel Brauer, Jennifer A. Doudna, Shane W. Krska, Stephanie A. Robinson, Brett T. Staahl and Craig A. Parish and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and The Journal of Organic Chemistry.

In The Last Decade

Johnathan C. Maza

17 papers receiving 349 citations

Author Peers

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

Author						Papers	Cites
Johnathan C. Maza	241	186	109	62	31	17	351
Alan M. Marmelstein	224 0.9×	121 0.7×	89 0.8×	54 0.9×	38 1.2×	10	300
Tingting Wang	168 0.7×	69 0.4×	48 0.4×	56 0.9×	31 1.0×	24	401
Mildred C. McDaniel	140 0.6×	53 0.3×	61 0.6×	46 0.7×	52 1.7×	13	403
Arundhati Nag	271 1.1×	153 0.8×	86 0.8×	44 0.7×	11 0.4×	21	374
Gour Chand Daskhan	317 1.3×	201 1.1×	46 0.4×	24 0.4×	39 1.3×	21	396
Viviana S. Fluxà	315 1.3×	189 1.0×	60 0.6×	18 0.3×	23 0.7×	10	393
Rujin Cheng	241 1.0×	173 0.9×	54 0.5×	57 0.9×	33 1.1×	15	365
Samuel Korman	137 0.6×	74 0.4×	43 0.4×	63 1.0×	19 0.6×	21	317
Klaus J. Neurohr	220 0.9×	108 0.6×	103 0.9×	18 0.3×	16 0.5×	14	354
R. David Row	274 1.1×	302 1.6×	95 0.9×	51 0.8×	10 0.3×	9	390

Countries citing papers authored by Johnathan C. Maza

Since Specialization

Citations

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

Fields of papers citing papers by Johnathan C. Maza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnathan C. Maza. 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 Johnathan C. Maza. The network helps show where Johnathan C. Maza may publish in the future.

Co-authorship network of co-authors of Johnathan C. Maza

This figure shows the co-authorship network connecting the top 25 collaborators of Johnathan C. Maza. A scholar is included among the top collaborators of Johnathan C. Maza 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 Johnathan C. Maza. Johnathan C. Maza 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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