Norma C. Grandi

25 total papers · 1.2k total citations
20 papers, 891 citations indexed

About

Norma C. Grandi is a scholar working on Pathology and Forensic Medicine, Epidemiology and Experimental and Cognitive Psychology. According to data from OpenAlex, Norma C. Grandi has authored 20 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 5 papers in Epidemiology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Norma C. Grandi's work include Vitamin D Research Studies (8 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Bone health and osteoporosis research (4 papers). Norma C. Grandi is often cited by papers focused on Vitamin D Research Studies (8 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Bone health and osteoporosis research (4 papers). Norma C. Grandi collaborates with scholars based in Germany, United States and Czechia. Norma C. Grandi's co-authors include Hermann Brenner, Elke Raum, Volker Arndt, Ulrike Haug, Lu Yin, Lutz P. Breitling, Dietrich Rothenbacher, Winfried März, B. Wüsten and Harry Hahmann and has published in prestigious journals such as Biological Psychiatry, The American Journal of Cardiology and Behaviour Research and Therapy.

In The Last Decade

Norma C. Grandi

19 papers receiving 861 citations

Author Peers

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

Author						Papers	Cites
Norma C. Grandi	623	235	205	141	136	20	891
Sanjeev Patel	381 0.6×	131 0.6×	217 1.1×	140 1.0×	91 0.7×	19	919
Waldemar Misiorowski	460 0.7×	185 0.8×	231 1.1×	228 1.6×	108 0.8×	39	963
Aziz A. Alkatib	498 0.8×	231 1.0×	208 1.0×	40 0.3×	103 0.8×	14	964
Maya Rahme	487 0.8×	264 1.1×	192 0.9×	86 0.6×	109 0.8×	27	760
N.O. Kuchuk	598 1.0×	236 1.0×	530 2.6×	79 0.6×	71 0.5×	17	920
Maria Lucia Mascia	467 0.7×	236 1.0×	243 1.2×	158 1.1×	49 0.4×	16	954
Jean-Claude Souberbielle	768 1.2×	253 1.1×	254 1.2×	95 0.7×	114 0.8×	29	960
R. Bouillon	325 0.5×	121 0.5×	186 0.9×	123 0.9×	44 0.3×	15	720
Mário Rui Mascarenhas	422 0.7×	176 0.7×	127 0.6×	43 0.3×	108 0.8×	28	782
S Krutzik	119 0.2×	214 0.9×	99 0.5×	102 0.7×	92 0.7×	18	781

Countries citing papers authored by Norma C. Grandi

Since Specialization

Citations

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

Fields of papers citing papers by Norma C. Grandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norma C. Grandi. 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 Norma C. Grandi. The network helps show where Norma C. Grandi may publish in the future.

Co-authorship network of co-authors of Norma C. Grandi

This figure shows the co-authorship network connecting the top 25 collaborators of Norma C. Grandi. A scholar is included among the top collaborators of Norma C. Grandi 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 Norma C. Grandi. Norma C. Grandi 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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