M Ricca

434 citations
20 papers · 342 indexed · h-index 8

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Diabetes and associated disorders
    • Liver physiology and pathology

Papers in

    • Retinoids in leukemia and cellular processes 2
    • Multiple Myeloma Research and Treatments 4
    • Chronic Myeloid Leukemia Treatments 2

M Ricca

16 papers receiving 334 citations

Peers

M Ricca
Comparison fields: 5 of 56
  • Genetics 130
  • Hepatology 40
  • Hematology 43
  • Surgery 122
  • Cancer Research 33
Replace Zehava Vadasz with:
Zehava Vadasz Israel
M Brózik Hungary
Deebly Chavez United States
AM Randi United Kingdom
Hans Dieter Kleine Germany
Luisa Sambado Italy
Evangelos Dalakas United Kingdom
Debashis Haldar United Kingdom
M Ricca relative to Zehava Vadasz Israel Zehava Vadasz's profile →
Citations per field
00.5×1.5×2.3×
Zehava Vadasz · 1×
Citations per year

Countries citing papers authored by M Ricca

Since Specialization
Citations

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

Fields of papers citing papers by M Ricca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012133
2 200874
3 201163
4 201317
5
N-acetyl-beta-D-glucosaminidase and beta2-microglobulin: prognostic markers in idiopathic nephrotic syndrome.
199915
6 20068
7 20137
8 20137
9
Changes in plasma concentrations of atrial natriuretic peptide during the first ten days and the second month of life.
19895
10 20194
11
[Edematogenic syndrome in diabetics treated with insulin: a little-known complication].
19862
12
Arteriosclerosis of the aorta in pigs.
19601
13 20231
14 20251
15 20091
16
[Nitrendipine, a new calcium antagonist, in the therapy of arterial hypertension].
19851
17
[Case of voluminous post-traumatic adrenal hematoma with pseudotumorous appearance associated with systo-diastolic arterial hypertension].
19861
18 20131
19 20250
20 20250

About M Ricca

M Ricca is a scholar working on Molecular Biology, Hematology, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Pancreatic function and diabetes (2 papers), Retinoids in leukemia and cellular processes (2 papers), Adipose Tissue and Metabolism (2 papers), Diabetes and associated disorders (2 papers), Microtubule and mitosis dynamics (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Genetics (130 citations), Hepatology (40 citations), Hematology (43 citations), Surgery (122 citations) and Cancer Research (33 citations). M Ricca has collaborated with scholars based in Italy, Chile and Bulgaria. Frequent co-authors include Paulette Conget, Fernando Ezquer, Marcelo Ezquer, David Contador, Valeska Simon, Carolina Allers, Guerino Lombardi, A. Corradi, Anna Maria Cantoni and Paolo Lunghi. Their work appears in journals such as Blood, Journal of Visualized Experiments, Stem Cells, Scientific Reports and Neurotoxicity Research.

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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