Michael Silverberg
Impact in
- Genetics top 2%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Genetics 15
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 15
-
- Blood Coagulation and Thrombosis Mechanisms 5
- Platelet Disorders and Treatments 2
- Co-authors
- Allen P. KaplanKusumam JosephKeith DalzielBerhane GhebrehiwetSesha ReddigariVincent T. MarchesiVeena KapoorJing Sun
- Journals
- Methods in enzymology on CD-ROM/Methods in enzymology (4 papers)Advances in experimental medicine and biology (3 papers)Annals of the New York Academy of Sciences (3 papers)Thrombosis Research (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Michael Silverberg
31 papers receiving 934 citations
Peers
Comparison fields: 5 of 94
- Genetics 448
- Hematology 200
- Immunology 289
- Biochemistry 54
- Clinical Biochemistry 48
Countries citing papers authored by Michael Silverberg
This map shows the geographic impact of Michael Silverberg'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 Michael Silverberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Silverberg more than expected).
Fields of papers citing papers by Michael Silverberg
This network shows the impact of papers produced by Michael Silverberg. 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 Michael Silverberg. The network helps show where Michael Silverberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Silverberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 0 | |
| 2 | 2013 | 5 | |
| 3 | 2011 | 9 | |
| 4 | 2006 | 71 | |
| 5 | 2002 | 239 | |
| 6 | 1998 | 49 | |
| 7 | 1997 | 66 | |
| 8 | 1995 | 10 | |
| 9 | 1994 | 16 | |
| 10 | 1992 | 11 | |
| 11 | 1989 | 12 | |
| 12 | 1989 | 3 | |
| 13 | 1989 | 8 | |
| 14 | 1988 | 3 | |
| 15 | 1988 | 6 | |
| 16 | 1987 | 19 | |
| 17 | 1981 | 6 | |
| 18 | 1981 | 15 | |
| 19 | 1980 | 49 | |
| 20 | 1975 | 11 |
About Michael Silverberg
Michael Silverberg is a scholar working on Genetics, Hematology, Clinical Biochemistry, Biochemistry and Immunology, having authored 33 papers that have together received 991 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Metabolism and Genetic Disorders (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Glycosylation and Glycoproteins Research (2 papers), Platelet Disorders and Treatments (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (448 citations), Hematology (200 citations), Immunology (289 citations), Biochemistry (54 citations) and Clinical Biochemistry (48 citations). Michael Silverberg has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Allen P. Kaplan, Kusumam Joseph, Keith Dalziel, Berhane Ghebrehiwet, Sesha Reddigari, Vincent T. Marchesi, Veena Kapoor, Jing Sun, Steven Μ. Albelda and Heinz Furthmayr. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Advances in experimental medicine and biology, Annals of the New York Academy of Sciences, Thrombosis Research and Biochemistry.
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.