Éric Grignano

1.2k citations
23 papers · 452 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Éric Grignano

19 papers receiving 447 citations

Peers

Éric Grignano
Comparison fields: 5 of 66
  • Hematology 146
  • Genetics 88
  • Cancer Research 101
  • Pulmonary and Respiratory Medicine 152
  • Applied Microbiology and Biotechnology 8
Replace Wilhelm Wößmann with:
Wilhelm Wößmann Germany
José A. López United States
Iris Isufi United States
Jacopo Angelini Italy
Lola Luo United States
Gevorg Tamamyan Armenia
Hidenobu Kamohara Japan
Malou Philips Denmark
Chang Ki Min South Korea
Dennis Talbot United Kingdom
Éric Grignano relative to Wilhelm Wößmann Germany Wilhelm Wößmann's profile →
Citations per field
00.5×8.3×
Wilhelm Wößmann · 1×
Citations per year

Countries citing papers authored by Éric Grignano

Since Specialization
Citations

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

Fields of papers citing papers by Éric Grignano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021131
2 201846
3 201345
4 202041
5 202040
6 202338
7 201636
8 202223
9 201716
10 20207
11 20226
12 20186
13 20165
14 20185
15 20153
16 20231
17 20151
18 20201
19 20191
20 20210

About Éric Grignano

Éric Grignano is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 23 papers that have together received 452 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Acute Myeloid Leukemia Research (4 papers), Ferroptosis and cancer prognosis (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Multiple Myeloma Research and Treatments (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (146 citations), Genetics (88 citations), Cancer Research (101 citations), Pulmonary and Respiratory Medicine (152 citations) and Applied Microbiology and Biotechnology (8 citations). Éric Grignano has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Didier Bouscary, Rudy Birsen, Nicolas Chapuis, Michaëla Fontenay, Olivier Kosmider, A. Mékinian, O. Fain, Pierre Fenaux, Justine Decroocq and Patrick Mayeux. Their work appears in journals such as Leukemia Research, European Journal Of Haematology, Journal of Antimicrobial Chemotherapy, Cell Death Discovery and 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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