Michael Silverberg

1.2k citations
34 papers · 1.0k · h-index 15

Impact in

  • Genetics top 2%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 16
    • Mast cells and histamine 3
    • Immune Cell Function and Interaction 2

Michael Silverberg

32 papers receiving 974 citations

Peers

Michael Silverberg
Comparison fields: 5 of 92
  • Genetics 453
  • Hematology 199
  • Immunology 278
  • Clinical Biochemistry 51
  • Biochemistry 55
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Citations per field
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Citations per year

Countries citing papers authored by Michael Silverberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002247
2 2005125
3 200675
4 199769
5 198068
6 197661
7 198057
8 199850
9 197348
10 198243
11 198720
12 198916
13 198816
14 199416
15 198115
16 197713
17 197512
18 197512
19 198911
20 199211

About Michael Silverberg

Michael Silverberg is a scholar working on Genetics, Immunology, Hematology, Molecular Biology and Clinical Biochemistry, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (16 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Metabolism and Genetic Disorders (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Mast cells and histamine (3 papers), Glycosylation and Glycoproteins Research (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 (453 citations), Hematology (199 citations), Immunology (278 citations), Clinical Biochemistry (51 citations) and Biochemistry (55 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, Vincent T. Marchesi, Sesha Reddigari, Jing Sun, Veena Kapoor, 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, CHEST Journal 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.

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