L. Realini

467 citations
11 papers · 364 · h-index 10

Impact in

Papers in

    • Mycobacterium research and diagnosis 10
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • Tuberculosis Research and Epidemiology 7

L. Realini

11 papers receiving 354 citations

Peers

L. Realini
Comparison fields: 5 of 54
  • Small Animals 101
  • Infectious Diseases 222
  • Epidemiology 288
  • Microbiology 4
  • Microbiology 32
Replace L. Naumann with:
L. Naumann Germany
J. Thompson United Kingdom
K L George United States
Ernestina Mensah‐Quainoo Switzerland
Hanako Fukano Japan
Marta García-Coca Spain
H L David France
Torsten M. Eckstein United States
Emilie Sitterlé France
Elisabetta Giacobazzi Italy
L. Realini relative to L. Naumann Germany L. Naumann's profile →
Citations per field
00.5×
L. Naumann · 1×
Citations per year

Countries citing papers authored by L. Realini

Since Specialization
Citations

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

Fields of papers citing papers by L. Realini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 199682
2 199967
3 199840
4 198834
5 199531
6 200123
7 199822
8 199522
9 199920
10 199718
11 20005

About L. Realini

L. Realini is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Molecular Medicine and Small Animals, having authored 11 papers that have together received 364 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (10 papers), Tuberculosis Research and Epidemiology (7 papers), Antibiotic Resistance in Bacteria (3 papers), Infectious Diseases and Mycology (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Ginseng Biological Effects and Applications (1 paper), Microbial metabolism and enzyme function (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Small Animals (101 citations), Infectious Diseases (222 citations), Epidemiology (288 citations), Microbiology (4 citations) and Microbiology (32 citations). L. Realini has collaborated with scholars based in Belgium, Switzerland and Czechia. Frequent co-authors include Françoise Portaels, Bernard Hirschel, Wayne M. Meyers, Pierre-Alain Fonteyne, W. De Meurichy, Karin De Ridder, B Jenni, Michel Aragno, R. Rossau and Geert Jannes. Their work appears in journals such as Journal of Clinical Microbiology, Systematic and Applied Microbiology, Diagnostic Microbiology and Infectious Disease, Microbial Drug Resistance and Antimicrobial Agents and Chemotherapy.

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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