Steven J. Martin

114 total papers · 6.7k total citations
68 papers, 5.0k citations indexed

About

Steven J. Martin is a scholar working on Pharmacology, Epidemiology and Molecular Medicine. According to data from OpenAlex, Steven J. Martin has authored 68 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pharmacology, 11 papers in Epidemiology and 10 papers in Molecular Medicine. Recurrent topics in Steven J. Martin's work include Antibiotics Pharmacokinetics and Efficacy (11 papers), Antibiotic Resistance in Bacteria (9 papers) and Pneumonia and Respiratory Infections (8 papers). Steven J. Martin is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (11 papers), Antibiotic Resistance in Bacteria (9 papers) and Pneumonia and Respiratory Infections (8 papers). Steven J. Martin collaborates with scholars based in United States, Belgium and India. Steven J. Martin's co-authors include Patrick B. Smith, H.M. Baker, Michael B. Hall, George J. Kallos, J. F. Ryder, Donald A. Tomalia, James Dewald, P. H. Townsend, Edward O. Shaffer and J. P. Godschalx and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and JAMA.

In The Last Decade

Steven J. Martin

67 papers receiving 4.8k citations

Hit Papers

A New Class of Polymers: ... 1985 2026 1998 2012 1985 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Steven J. Martin 2.7k 1.7k 1.2k 834 606 68 5.0k
Alberto Mariani 693 0.3× 638 0.4× 1.9k 1.6× 1.4k 1.6× 667 1.1× 137 4.4k
Julijana Kristl 473 0.2× 1.3k 0.8× 600 0.5× 638 0.8× 1.5k 2.5× 132 7.0k
Michael R. Thompson 722 0.3× 1.1k 0.7× 516 0.4× 522 0.6× 526 0.9× 249 7.4k
Nilesh Jain 1.9k 0.7× 3.8k 2.3× 1.0k 0.8× 2.1k 2.5× 2.3k 3.8× 205 10.1k
Alexander T. Florence 501 0.2× 2.1k 1.3× 854 0.7× 898 1.1× 824 1.4× 101 6.4k
Paolo Caliceti 624 0.2× 2.4k 1.5× 1.1k 0.8× 646 0.8× 1.5k 2.5× 167 6.6k
Qun Li 818 0.3× 951 0.6× 1.4k 1.1× 2.2k 2.7× 1.1k 1.9× 255 7.8k
Xinge Zhang 280 0.1× 1.2k 0.7× 875 0.7× 2.3k 2.7× 1.9k 3.1× 219 6.4k
Anil K. Patri 1.7k 0.6× 2.8k 1.7× 816 0.7× 2.0k 2.4× 1.8k 2.9× 63 7.1k
Dali Wang 692 0.3× 1.5k 0.9× 919 0.7× 1.6k 1.9× 1.4k 2.3× 201 6.7k

Countries citing papers authored by Steven J. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Martin. 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 Steven J. Martin. The network helps show where Steven J. Martin may publish in the future.

Co-authorship network of co-authors of Steven J. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Martin. A scholar is included among the top collaborators of Steven J. Martin 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 Steven J. Martin. Steven J. Martin 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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