S.W. Hwang

2.8k citations
5 papers · 2.2k · 1 hit paper · h-index 4

Impact in

  • Genetics top 0.5%
    • Mesenchymal stem cell research
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

S.W. Hwang

4 papers receiving 2.1k citations

S.W. Hwang's Hit Papers

Multi-Organ, Multi-Lineage Engraftment by a Single Bone Marrow-Derived Stem Cell 2001 · 2.1k citations
2.1k0+8+16Years since publication50010001.5k2.0k

Peers

S.W. Hwang
Comparison fields: 5 of 84
  • Genetics 1.1k
  • Hepatology 209
  • Developmental Neuroscience 97
  • Hematology 203
  • Surgery 711
Replace De Angelis with:
De Angelis Italy
Eun Ji Gang United States
Mark Blackstad United States
Robert C.H. Zhao China
Gordana Raicevic Belgium
Joanna E. Grove United States
Elke Eggenhofer Germany
Qinjun Zhao China
K. D. Patrene United States
Alan F. Flint United States
S.W. Hwang relative to De Angelis Italy De Angelis's profile →
Citations per field
00.5×2.8×
De Angelis · 1×
Citations per year

Countries citing papers authored by S.W. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by S.W. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside S.W. Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.W. Hwang Line = papers co-authored together S.W. Hwang links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About S.W. Hwang

S.W. Hwang is a scholar working on Electrical and Electronic Engineering, Surgery, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 2.2k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (1 paper), Antenna Design and Analysis (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Advancements in Semiconductor Devices and Circuit Design (1 paper), Cervical Cancer and HPV Research (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Millimeter-Wave Propagation and Modeling (1 paper). The work is most often cited by research in Genetics (1.1k citations), Hepatology (209 citations), Developmental Neuroscience (97 citations), Hematology (203 citations) and Surgery (711 citations). S.W. Hwang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Neil D. Theise, Saul J. Sharkis, Diane S. Krause, Octavian Henegariu, Michael I. Collector, R. L. Gardner, Aylin Simsir, Joan Cangiarella, Janie Roberson and David C. Chhieng. Their work appears in journals such as Cancer, Cell, Diagnostic Cytopathology and IEE Proceedings - Circuits Devices and Systems.

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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