Danilla Grando

50 total papers · 1.1k total citations
33 papers, 776 citations indexed

About

Danilla Grando is a scholar working on Epidemiology, Physiology and Infectious Diseases. According to data from OpenAlex, Danilla Grando has authored 33 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Physiology and 7 papers in Infectious Diseases. Recurrent topics in Danilla Grando's work include Reproductive tract infections research (4 papers), Nail Diseases and Treatments (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Danilla Grando is often cited by papers focused on Reproductive tract infections research (4 papers), Nail Diseases and Treatments (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Danilla Grando collaborates with scholars based in Australia, United States and South Korea. Danilla Grando's co-authors include Ruby Biezen, Bianca Brijnath, Danielle Mazza, Kyle J. Berean, Jian Zhen Ou, Chu K Yao, Nam Ha, Kourosh Kalantar‐Zadeh, Jane G. Muir and Stéphanie Ward and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and BMC Public Health.

In The Last Decade

Danilla Grando

32 papers receiving 753 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Danilla Grando	151	140	133	117	101	33	776
Carmen Curuțiu	92 0.6×	45 0.3×	368 2.8×	108 0.9×	25 0.2×	36	809
B. W. Watson	95 0.6×	59 0.4×	53 0.4×	23 0.2×	20 0.2×	40	659
Paul Klatser	166 1.1×	209 1.5×	171 1.3×	289 2.5×	24 0.2×	19	775
Amy B. Dean	63 0.4×	239 1.7×	90 0.7×	229 2.0×	25 0.2×	27	768
Jeong Nam Kim	92 0.6×	87 0.6×	273 2.1×	45 0.4×	35 0.3×	72	903
Takaaki Shimohata	97 0.6×	47 0.3×	321 2.4×	98 0.8×	20 0.2×	48	889
Jawaria Ali Khan	44 0.3×	40 0.3×	171 1.3×	64 0.5×	39 0.4×	45	710
Patrick Quinn	213 1.4×	79 0.6×	24 0.2×	20 0.2×	206 2.0×	66	886
Niannian Chen	27 0.2×	110 0.8×	217 1.6×	32 0.3×	23 0.2×	59	876
Neil E. Klutman	24 0.2×	157 1.1×	135 1.0×	266 2.3×	29 0.3×	14	819

Countries citing papers authored by Danilla Grando

Since Specialization

Citations

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

Fields of papers citing papers by Danilla Grando

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilla Grando

This figure shows the co-authorship network connecting the top 25 collaborators of Danilla Grando. A scholar is included among the top collaborators of Danilla Grando 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 Danilla Grando. Danilla Grando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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