G Landi

62 total papers · 1.2k total citations
19 papers, 329 citations indexed

About

G Landi is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, G Landi has authored 19 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Dermatology and 5 papers in Epidemiology. Recurrent topics in G Landi's work include Cutaneous Melanoma Detection and Management (7 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Skin Diseases and Diabetes (2 papers). G Landi is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Skin Diseases and Diabetes (2 papers). G Landi collaborates with scholars based in Italy, United States and Canada. G Landi's co-authors include Donato Calista, Andrea Baccarelli, M. T. Landi, Margaret A. Tucker, Antonio Boschini, Angela Cecilia Pesatori, Thomas R. Fears, G Moscatelli, Benedetta Albetti and Mohammad Hedayati and has published in prestigious journals such as British Journal of Cancer, Journal of the European Academy of Dermatology and Venereology and Contact Dermatitis.

In The Last Decade

G Landi

19 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
G Landi	182	124	95	76	37	19	329
Antonio Vilalta	267 1.5×	129 1.0×	148 1.6×	77 1.0×	17 0.5×	15	336
Knud Søndergaard	210 1.2×	111 0.9×	51 0.5×	81 1.1×	66 1.8×	16	318
Sapna M. Amin	180 1.0×	64 0.5×	57 0.6×	100 1.3×	34 0.9×	22	301
Emily A. Merkel	241 1.3×	87 0.7×	51 0.5×	145 1.9×	53 1.4×	16	336
Marcus L. Frohm	228 1.3×	48 0.4×	82 0.9×	123 1.6×	38 1.0×	15	348
Neda Shahriari	113 0.6×	103 0.8×	77 0.8×	28 0.4×	47 1.3×	32	286
Shirin Bajaj	273 1.5×	74 0.6×	93 1.0×	72 0.9×	53 1.4×	17	356
Jeffrey S. Schneider	233 1.3×	153 1.2×	113 1.2×	31 0.4×	10 0.3×	10	308
M. Baccard	136 0.7×	60 0.5×	79 0.8×	108 1.4×	49 1.3×	26	359
Alicia Barreiro	226 1.2×	99 0.8×	107 1.1×	56 0.7×	27 0.7×	34	314

Countries citing papers authored by G Landi

Since Specialization

Citations

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

Fields of papers citing papers by G Landi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Landi

This figure shows the co-authorship network connecting the top 25 collaborators of G Landi. A scholar is included among the top collaborators of G Landi 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 G Landi. G Landi 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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