S Manfreda

1.6k citations
6 papers · 257 · h-index 4

Impact in

  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Blood Pressure and Hypertension Studies
    • Renin-Angiotensin System Studies

Papers in

S Manfreda

6 papers receiving 235 citations

Peers

S Manfreda
Comparison fields: 5 of 50
  • Hematology 89
  • Cardiology and Cardiovascular Medicine 115
  • Genetics 35
  • Endocrinology, Diabetes and Metabolism 52
  • Family Practice 4
Replace Masashi Hòmori with:
Masashi Hòmori Japan
Emre Yılmaz Türkiye
Brian Dale Australia
Mark Tripputi United States
Krystian Josiak Poland
Søs Neergaard‐Petersen Denmark
Erica Malan Australia
P R Howard United States
Shigeto Namiuchi Japan
R. A. Ajjan United Kingdom
S Manfreda relative to Masashi Hòmori Japan Masashi Hòmori's profile →
Citations per field
00.5×1.5×
Masashi Hòmori · 1×
Citations per year

Countries citing papers authored by S Manfreda

Since Specialization
Citations

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

Fields of papers citing papers by S Manfreda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S Manfreda, 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 Manfreda Line = papers co-authored together S Manfreda links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1995106
2
200493
3
Phase I multicenter trial of interleukin 6 therapy after autologous bone marrow transplantation in advanced breast cancer.
199531
4 200424
5 20002
6 20001

About S Manfreda

S Manfreda is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Oncology and Hematology, having authored 6 papers that have together received 257 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (2 papers), Blood Pressure and Hypertension Studies (2 papers), Hormonal Regulation and Hypertension (2 papers), Acute Myeloid Leukemia Research (1 paper), Sodium Intake and Health (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Hematology (89 citations), Cardiology and Cardiovascular Medicine (115 citations), Genetics (35 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Family Practice (4 citations). S Manfreda has collaborated with scholars based in United States, Sweden and South Africa. Frequent co-authors include Michael A. Weber, MS Gordon, C Rosenfeld, Randi Isaacs, George L. Bakris, C. C. Wun, Bertram Pitt, Robert S. Hoffman, John Nemunaitis and S D Nimer. Their work appears in journals such as Atherosclerosis, American Journal of Hypertension, Blood and PubMed.

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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