Margarida Silverman

545 citations
17 papers · 313 · h-index 5

Impact in

  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
  • Parasitology top 10%
    • Toxoplasma gondii Research Studies

Papers in

    • Multiple Myeloma Research and Treatments 8
    • Chronic Myeloid Leukemia Treatments 3
    • Acute Myeloid Leukemia Research 2
    • Cancer therapeutics and mechanisms 3
    • Histone Deacetylase Inhibitors Research 2

Margarida Silverman

16 papers receiving 304 citations

Peers

Margarida Silverman
Comparison fields: 5 of 42
  • Epidemiology 230
  • Parasitology 44
  • Hematology 58
  • Virology 17
  • Infectious Diseases 46
Replace A. De Laurenzi with:
A. De Laurenzi Italy
G Malkan Canada
Takako Satou Japan
Sarah Grace United Kingdom
Junji Ikewaki Japan
Jessica Jalbrzikowski United States
Clara Mariette France
Jennifer Hoek Netherlands
Joseph M. Rocco United States
Terri Lynn Shigle United States
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Citations per field
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Citations per year

Countries citing papers authored by Margarida Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Margarida Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margarida Silverman. 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 Margarida Silverman. The network helps show where Margarida Silverman may publish in the future.

Co-authors

The 25 scholars most cited alongside Margarida Silverman, 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 Margarida Silverman Line = papers co-authored together Margarida Silverman links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2014250
2 201514
3 201512
4 201610
5 20205
6 20204
7 20183
8 20193
9 20193
10 20192
11 20212
12 20171
13 20151
14 20181
15 20181
16 20191
17 20170

About Margarida Silverman

Margarida Silverman is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Epidemiology, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer therapeutics and mechanisms (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Epidemiology (230 citations), Parasitology (44 citations), Hematology (58 citations), Virology (17 citations) and Infectious Diseases (46 citations). Margarida Silverman has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gerhard Ehninger, Janice Brown, Andrew J. Ullmann, Christoph Groth, Susanne Stoelben, M Richard, Richard E. Champlin, K. Kölling, Martin Bornhäuser and Horst Nowak. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Blood Cancer Journal, Cancer Nursing and New England Journal of Medicine.

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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