Steven R. Hwang

58 total papers · 505 total citations
16 papers, 276 citations indexed

About

Steven R. Hwang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Steven R. Hwang has authored 16 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Steven R. Hwang's work include Lymphoma Diagnosis and Treatment (5 papers), RNA modifications and cancer (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Steven R. Hwang is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), RNA modifications and cancer (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Steven R. Hwang collaborates with scholars based in United States, China and Pakistan. Steven R. Hwang's co-authors include F. Robert Tabita, Megan S. Lim, Kojo S.J. Elenitoba‐Johnson, Carlos Murga‐Zamalloa, Scott R. McDonnell, Venkatesha Basrur, Vivian Hook, Andrea B. Kohn, Damian Fermin and Rajiv K. Pruthi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Steven R. Hwang

14 papers receiving 274 citations

Author Peers

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

Author						Papers	Cites
Steven R. Hwang	136	76	52	49	47	16	276
Giovanni Antico	147 1.1×	72 0.9×	82 1.6×	40 0.8×	18 0.4×	12	275
Viktor Ljungström	133 1.0×	73 1.0×	70 1.3×	35 0.7×	108 2.3×	23	313
Martina Fröhlich	161 1.2×	102 1.3×	73 1.4×	54 1.1×	41 0.9×	17	309
Yang Bao	174 1.3×	80 1.1×	86 1.7×	52 1.1×	28 0.6×	22	306
P. A. Bernabei	162 1.2×	41 0.5×	71 1.4×	22 0.4×	15 0.3×	20	328
Javier Sáenz‐Santamaría	77 0.6×	47 0.6×	95 1.8×	18 0.4×	49 1.0×	13	322
Joshua Paterson	162 1.2×	60 0.8×	117 2.3×	35 0.7×	10 0.2×	11	276
Manabu Ono	83 0.6×	32 0.4×	52 1.0×	146 3.0×	10 0.2×	18	319
Mitsuteru Hiwatari	136 1.0×	40 0.5×	49 0.9×	61 1.2×	29 0.6×	23	248
Jin Luo	169 1.2×	109 1.4×	96 1.8×	30 0.6×	14 0.3×	9	301

Countries citing papers authored by Steven R. Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Steven R. Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven R. Hwang

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