Debora Lucarelli

621 total citations
8 papers, 291 citations indexed

About

Debora Lucarelli is a scholar working on Nutrition and Dietetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Debora Lucarelli has authored 8 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nutrition and Dietetics, 3 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Debora Lucarelli's work include Phytochemicals and Antioxidant Activities (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Debora Lucarelli is often cited by papers focused on Phytochemicals and Antioxidant Activities (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Debora Lucarelli collaborates with scholars based in United Kingdom, United States and Italy. Debora Lucarelli's co-authors include Ehmke Pohl, Wolfram Meyer‐Klaucke, Elspeth F. Garman, Anna Milano, Hagen Schroeter, Robert Luben, Gunter Kuhnle, Abigail Britten, Javier I. Ottaviani and Philip B. Grace and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Debora Lucarelli

8 papers receiving 287 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Debora Lucarelli United Kingdom	7	106	102	55	45	40	8	291
Xian Yang China	15	162 1.5×	156 1.5×	22 0.4×	22 0.5×	72 1.8×	26	513
Emmanuelle Tavan France	9	159 1.5×	91 0.9×	18 0.3×	36 0.8×	10 0.3×	10	377
J.T. Heimbach United States	10	64 0.6×	97 1.0×	45 0.8×	14 0.3×	77 1.9×	13	343
Shimrit Bar-El Dadon Israel	7	117 1.1×	97 1.0×	76 1.4×	25 0.6×	26 0.7×	7	383
Edidiong Nnamso Akang Nigeria	13	37 0.3×	41 0.4×	13 0.2×	46 1.0×	38 0.9×	29	389
Korosh Khanaki Iran	12	151 1.4×	36 0.4×	36 0.7×	13 0.3×	49 1.2×	39	383
C.A. Bouwman Netherlands	14	126 1.2×	156 1.5×	112 2.0×	37 0.8×	85 2.1×	28	484
José João Name Brazil	6	45 0.4×	145 1.4×	53 1.0×	8 0.2×	19 0.5×	9	348
Lianyu Yang China	10	125 1.2×	80 0.8×	19 0.3×	29 0.6×	27 0.7×	31	372
Axel Guilbaud France	9	175 1.7×	50 0.5×	11 0.2×	16 0.4×	16 0.4×	14	441

Countries citing papers authored by Debora Lucarelli

Since Specialization

Citations

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

Fields of papers citing papers by Debora Lucarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debora Lucarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Debora Lucarelli. A scholar is included among the top collaborators of Debora Lucarelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debora Lucarelli. Debora Lucarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Ottaviani, Javier I., Abigail Britten, Debora Lucarelli, et al.. (2020). Biomarker-estimated flavan-3-ol intake is associated with lower blood pressure in cross-sectional analysis in EPIC Norfolk. Scientific Reports. 10(1). 17964–17964. 31 indexed citations

2.

Ottaviani, Javier I., Jennifer Kimball, Jodi L. Ensunsa, et al.. (2019). Evaluation of (−)-epicatechin metabolites as recovery biomarker of dietary flavan-3-ol intake. Scientific Reports. 9(1). 13108–13108. 24 indexed citations

3.

Ottaviani, Javier I., Jennifer Kimball, Jodi L. Ensunsa, et al.. (2018). Evaluation at scale of microbiome-derived metabolites as biomarker of flavan-3-ol intake in epidemiological studies. Scientific Reports. 8(1). 9859–9859. 53 indexed citations

4.

Lucarelli, Debora, et al.. (2009). The RecB Nuclease Domain Binds to RecA-DNA Filaments: Implications for Filament Loading. Journal of Molecular Biology. 391(2). 269–274. 10 indexed citations

5.

Lucarelli, Debora, Michael L. Vasil, Wolfram Meyer‐Klaucke, & Ehmke Pohl. (2008). The Metal-Dependent Regulators FurA and FurB from Mycobacterium Tuberculosis. International Journal of Molecular Sciences. 9(8). 1548–1560. 20 indexed citations

6.

Lucarelli, Debora, et al.. (2007). Crystal Structure and Function of the Zinc Uptake Regulator FurB from Mycobacterium tuberculosis. Journal of Biological Chemistry. 282(13). 9914–9922. 114 indexed citations

7.

D’Angelo, P., Debora Lucarelli, S. Della Longa, et al.. (2004). Unusual Heme Iron-Lipid Acyl Chain Coordination in Escherichia coli Flavohemoglobin. Biophysical Journal. 86(6). 3882–3892. 38 indexed citations

8.

Lucarelli, Debora, et al.. (1957). [Observations on blood proteins in the fetus at term & their relation to those of the mother].. PubMed. 9(12). 508–12. 1 indexed citations

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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