Veronica Gruppo

1.9k citations
19 papers · 1.4k · h-index 18

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 17
    • Mycobacterium research and diagnosis 7
    • Pneumocystis jirovecii pneumonia detection and treatment 2

Veronica Gruppo

19 papers receiving 1.3k citations

Peers

Veronica Gruppo
Comparison fields: 5 of 75
  • Infectious Diseases 976
  • Molecular Medicine 129
  • Epidemiology 686
  • Molecular Biology 548
  • Pharmaceutical Science 46
Replace Jef Van Gestel with:
Jef Van Gestel Belgium
E. Jeffrey North United States
B. V. Nikonenko Russia
T M Arain United States
Vanessa Mathys Belgium
Venkata M. Reddy United States
Luis R. Camacho Singapore
Deepak V. Almeida United States
Radha Krishan Shandil India
Kathy N. Williams United States
Veronica Gruppo relative to Jef Van Gestel Belgium Jef Van Gestel's profile →
Citations per field
00.5×1.5×
Jef Van Gestel · 1×
Citations per year

Countries citing papers authored by Veronica Gruppo

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Gruppo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012360
2 2005256
3 201487
4 200381
5 201071
6 200460
7 200955
8 201352
9 200751
10 202149
11 201238
12 200635
13 201131
14 200630
15 200530
16 200224
17 200821
18 200219
19 200717

About Veronica Gruppo

Veronica Gruppo is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Oncology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (7 papers), Cancer therapeutics and mechanisms (4 papers), Antibiotic Resistance in Bacteria (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers), Infectious Diseases and Tuberculosis (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Infectious Diseases (976 citations), Molecular Medicine (129 citations), Epidemiology (686 citations), Molecular Biology (548 citations) and Pharmaceutical Science (46 citations). Veronica Gruppo has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include Anne J. Lenaerts, Ian M. Orme, Christine M. Johnson, Michaël Scherman, Robert C. Reynolds, Jerry D. Rose, Richard Lee, Michael McNeil, E. Jeffrey North and Anna E. Grzegorzewicz. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Tuberculosis, Molecular Microbiology, Nature Chemical Biology and International Journal of Antimicrobial Agents.

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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