Steven A. Heidler

8 total papers · 578 total citations
7 papers, 322 citations indexed

About

Steven A. Heidler is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Steven A. Heidler has authored 7 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Infectious Diseases and 2 papers in Organic Chemistry. Recurrent topics in Steven A. Heidler's work include Biochemical and Molecular Research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Antifungal resistance and susceptibility (2 papers). Steven A. Heidler is often cited by papers focused on Biochemical and Molecular Research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Antifungal resistance and susceptibility (2 papers). Steven A. Heidler collaborates with scholars based in United States. Steven A. Heidler's co-authors include Jeffrey A Radding, Blake J. Roessler, Michael A. Becker, William W. Turner, Robert L. Switzer, T D Palella, Patrick Smith, Larry J. Shapiro, Susumu Seino and T. Mohandas and has published in prestigious journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Steven A. Heidler

7 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
Steven A. Heidler	220	79	78	57	43	7	322
Takashi Hashida-Okado	184 0.8×	47 0.6×	92 1.2×	74 1.3×	42 1.0×	8	346
Everard M. Trip	236 1.1×	46 0.6×	52 0.7×	24 0.4×	36 0.8×	7	351
Christopher Molloy	126 0.6×	86 1.1×	40 0.5×	55 1.0×	12 0.3×	10	328
Tamutenda Chidawanyika	259 1.2×	81 1.0×	67 0.9×	17 0.3×	28 0.7×	9	334
Danmei Su	189 0.9×	60 0.8×	76 1.0×	51 0.9×	29 0.7×	9	353
Marek J. Kobylarz	191 0.9×	33 0.4×	83 1.1×	20 0.4×	43 1.0×	9	324
Moisés Pérez	161 0.7×	107 1.4×	30 0.4×	33 0.6×	12 0.3×	10	359
Ryosuke Iijima	171 0.8×	34 0.4×	33 0.4×	19 0.3×	15 0.3×	12	326
Saritha Suram	132 0.6×	73 0.9×	50 0.6×	34 0.6×	12 0.3×	8	332
Rena McKinnon	174 0.8×	32 0.4×	44 0.6×	12 0.2×	93 2.2×	9	316

Countries citing papers authored by Steven A. Heidler

Since Specialization

Citations

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

Fields of papers citing papers by Steven A. Heidler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven A. Heidler

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