Niva Jaccard

11 total papers · 829 total citations
10 papers, 609 citations indexed

About

Niva Jaccard is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Niva Jaccard has authored 10 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in Niva Jaccard's work include Vitamin D Research Studies (5 papers), Sexual Differentiation and Disorders (2 papers) and Hormonal Regulation and Hypertension (2 papers). Niva Jaccard is often cited by papers focused on Vitamin D Research Studies (5 papers), Sexual Differentiation and Disorders (2 papers) and Hormonal Regulation and Hypertension (2 papers). Niva Jaccard collaborates with scholars based in Israel and United States. Niva Jaccard's co-authors include Yosef Weisman, Dalia Sömjen, Förtüne Kohen, Rona Limor, Orly Sharon, Naftali Stern, Batya Gayer, David Goldray, Esther Knoll and Jake Y. Chen and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Journal of the American Geriatrics Society.

In The Last Decade

Niva Jaccard

10 papers receiving 584 citations

Author Peers

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

Author Last Decade Papers Cites
Niva Jaccard 341 197 137 122 98 10 609
Bi. Lund 318 0.9× 186 0.9× 76 0.6× 109 0.9× 62 0.6× 12 509
Judith Clearwater 166 0.5× 284 1.4× 76 0.6× 103 0.8× 103 1.1× 9 635
Lorenzo Sandini 228 0.7× 379 1.9× 100 0.7× 75 0.6× 110 1.1× 16 661
Birger Lund 257 0.8× 155 0.8× 57 0.4× 115 0.9× 87 0.9× 23 593
F. H. Glorieux 220 0.6× 158 0.8× 154 1.1× 40 0.3× 108 1.1× 19 653
Gamini Abeyasekera 182 0.5× 159 0.8× 58 0.4× 143 1.2× 102 1.0× 12 573
M.E. Hayes 330 1.0× 113 0.6× 113 0.8× 65 0.5× 97 1.0× 14 503
Leonid Bartik 387 1.1× 63 0.3× 152 1.1× 67 0.5× 49 0.5× 7 643
DiMagno Ep 142 0.4× 94 0.5× 95 0.7× 81 0.7× 177 1.8× 12 622
Mauro Pileri 247 0.7× 186 0.9× 82 0.6× 227 1.9× 72 0.7× 10 539

Countries citing papers authored by Niva Jaccard

Since Specialization
Citations

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

Fields of papers citing papers by Niva Jaccard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niva Jaccard

This figure shows the co-authorship network connecting the top 25 collaborators of Niva Jaccard. A scholar is included among the top collaborators of Niva Jaccard 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 Niva Jaccard. Niva Jaccard 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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2026