Joseph T. Azok

29 total papers · 482 total citations
17 papers, 238 citations indexed

About

Joseph T. Azok is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Spectroscopy. According to data from OpenAlex, Joseph T. Azok has authored 17 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Spectroscopy. Recurrent topics in Joseph T. Azok's work include Advanced Proteomics Techniques and Applications (4 papers), Machine Learning in Bioinformatics (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Joseph T. Azok is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Machine Learning in Bioinformatics (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Joseph T. Azok collaborates with scholars based in United States, Australia and Netherlands. Joseph T. Azok's co-authors include Jason K. Lempel, Pieter L. deHaseth, Laura Tsujikawa, Gianina Panaghie, Michael A. Bolen, Charles T. Lau, Rahul D. Renapurkar, Ahmed H. El-Sherief, Gerard Hoehn and King C. Li and has published in prestigious journals such as Journal of Biological Chemistry, Radiology and Radiographics.

In The Last Decade

Joseph T. Azok

17 papers receiving 231 citations

Author Peers

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

Author						Papers	Cites
Joseph T. Azok	76	72	55	35	34	17	238
Polina Kurbatova	64 0.8×	50 0.7×	46 0.8×	14 0.4×	14 0.4×	18	277
Allan Wright	102 1.3×	42 0.6×	65 1.2×	151 4.3×	120 3.5×	10	297
Christophe Langouët-Astrié	37 0.5×	110 1.5×	10 0.2×	24 0.7×	9 0.3×	19	307
Laura Brenner	59 0.8×	52 0.7×	49 0.9×	21 0.6×	17 0.5×	16	255
Yu‐Ru Su	38 0.5×	22 0.3×	31 0.6×	49 1.4×	53 1.6×	22	260
Robert E. Madden	79 1.0×	31 0.4×	14 0.3×	55 1.6×	10 0.3×	17	293
Meghan Woods	65 0.9×	33 0.5×	96 1.7×	17 0.5×	9 0.3×	27	332
Alexander T. Fields	20 0.3×	84 1.2×	11 0.2×	32 0.9×	18 0.5×	18	286
Marc‐Phillip Hitz	16 0.2×	93 1.3×	28 0.5×	19 0.5×	50 1.5×	23	191
Alena Orlenko	14 0.2×	107 1.5×	37 0.7×	18 0.5×	112 3.3×	12	321

Countries citing papers authored by Joseph T. Azok

Since Specialization

Citations

This map shows the geographic impact of Joseph T. Azok'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 Joseph T. Azok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph T. Azok more than expected).

Fields of papers citing papers by Joseph T. Azok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph T. Azok. 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 Joseph T. Azok. The network helps show where Joseph T. Azok may publish in the future.

Co-authorship network of co-authors of Joseph T. Azok

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph T. Azok. A scholar is included among the top collaborators of Joseph T. Azok 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 Joseph T. Azok. Joseph T. Azok 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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