Steve C. Huang
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Adenosine and Purinergic Signaling 4
- Calcium signaling and nucleotide metabolism 3
-
- Neuroendocrine Tumor Research Advances 4
- Co-authors
- Sergey G. Apasov (4 shared papers)M. Koshiba (4 shared papers)Michail V. Sitkovsky (4 shared papers)Alexander O. Vortmeyer (9 shared papers)Zhengping Zhuang (9 shared papers)Irina A. Lubensky (3 shared papers)Hidefumi Kojima (1 shared paper)Christian A. Koch (4 shared papers)
- Journals
- Oncogene (4 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Blood (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Stem Cells (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Steve C. Huang
22 papers receiving 2.4k citations
Steve C. Huang's Hit Papers
Peers
Comparison fields: 5 of 123
- Physiology 486
- Cancer Research 296
- Genetics 461
- Neurology 239
- Immunology 334
Countries citing papers authored by Steve C. Huang
This map shows the geographic impact of Steve C. Huang'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 Steve C. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve C. Huang more than expected).
Fields of papers citing papers by Steve C. Huang
This network shows the impact of papers produced by Steve C. Huang. 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 Steve C. Huang. The network helps show where Steve C. Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve C. Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human Genome Sequencing Using Unchained Base Reads on Self-Assembling DNA Nanoarrays Hit paper breakdown → | 2009 | 956 |
| 2 | 1997 | 455 | |
| 3 | Mutations of the MEN1 tumor suppressor gene in pituitary tumors. | 1997 | 211 |
| 4 | 1997 | 170 | |
| 5 | 2004 | 123 | |
| 6 | 2003 | 66 | |
| 7 | 2004 | 63 | |
| 8 | 2001 | 53 | |
| 9 | 2003 | 51 | |
| 10 | 2006 | 49 | |
| 11 | 1997 | 48 | |
| 12 | 2001 | 42 | |
| 13 | Loss of heterozygosity of chromosome 1q in gastrinomas: occurrence and prognostic significance. | 2003 | 40 |
| 14 | 2002 | 38 | |
| 15 | 2015 | 34 | |
| 16 | 2002 | 31 | |
| 17 | 2006 | 15 | |
| 18 | 2004 | 14 | |
| 19 | 1998 | 7 | |
| 20 | 2006 | 6 |
About Steve C. Huang
Steve C. Huang is a scholar working on Physiology, Epidemiology, Cancer Research, Neurology and Oncology, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (4 papers), Adenosine and Purinergic Signaling (4 papers), Neuroblastoma Research and Treatments (3 papers), Molecular Biology Techniques and Applications (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Physiology (486 citations), Cancer Research (296 citations), Genetics (461 citations), Neurology (239 citations) and Immunology (334 citations). Steve C. Huang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Sergey G. Apasov, M. Koshiba, Michail V. Sitkovsky, Alexander O. Vortmeyer, Zhengping Zhuang, Irina A. Lubensky, Hidefumi Kojima, Christian A. Koch, Irina A. Lubensky and Junbo Ge. Their work appears in journals such as Oncogene, The Journal of Clinical Endocrinology & Metabolism, Blood, Analytical and Bioanalytical Chemistry and Stem Cells.
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.