Anna Grazia Recchia

2.4k citations
41 papers · 1.7k indexed · h-index 17

Anna Grazia Recchia

39 papers receiving 1.7k citations

Peers

Anna Grazia Recchia
Comparison fields: 5 of 103
  • Genetics 812
  • Endocrinology, Diabetes and Metabolism 255
  • Cancer Research 216
  • Genetics 129
  • Molecular Biology 796
Replace Silke Kietz with:
Silke Kietz Germany
B W O'Malley United States
Soo Ok Lee United States
Muriel Le Romancer France
Josie L. Falany United States
Marilena Lanzino Italy
Eric A. Ariazi United States
Jeanne M. Danes United States
Angela Brodie United States
Kazuaki Takaku Japan
Anna Grazia Recchia relative to Silke Kietz Germany Silke Kietz's profile →
Citations per field
00.5×3.1×
Silke Kietz · 1×
Citations per year

Countries citing papers authored by Anna Grazia Recchia

Since Specialization
Citations

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

Fields of papers citing papers by Anna Grazia Recchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Grazia Recchia. 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 Anna Grazia Recchia. The network helps show where Anna Grazia Recchia may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20208
3 20194
4 20193
5 201916
6 20191
7 201911
8 201813
9 201742
10 20173
11 201714
12 20177
13 201213
14 201152
15 201191
16 201013
17 20102
18 200864
19 200562
20 2004381

About Anna Grazia Recchia

Anna Grazia Recchia is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (12 papers), Estrogen and related hormone effects (9 papers), Lymphoma Diagnosis and Treatment (7 papers), Multiple Myeloma Research and Treatments (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Blood disorders and treatments (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Genetics (812 citations), Endocrinology, Diabetes and Metabolism (255 citations), Cancer Research (216 citations), Genetics (129 citations) and Molecular Biology (796 citations). Anna Grazia Recchia has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Marcello Maggiolini, Adele Vivacqua, Sebastiano Andò, Didier Picard, Anna Maria Musti, Daniela Bonofiglio, Diego Sisci, Vincenzo Pezzi, Daniela Montanaro and Maria Carmela Cerra. Their work appears in journals such as Expert Opinion on Investigational Drugs, Journal of Molecular Endocrinology, Journal of Molecular and Cellular Cardiology, Chemotherapy and Journal of Biological Chemistry.

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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