Bernard Freudenthal

863 citations
9 papers · 265 · h-index 6

Impact in

Papers in

Bernard Freudenthal

9 papers receiving 262 citations

Peers

Bernard Freudenthal
Comparison fields: 5 of 49
  • Nephrology 93
  • Cellular and Molecular Neuroscience 47
  • Molecular Biology 132
  • Endocrinology, Diabetes and Metabolism 31
  • Pulmonary and Respiratory Medicine 55
Replace Taeko Hashimoto with:
Taeko Hashimoto Japan
Anja Rahn Germany
Danielle Press United States
Rodolfo S. Martín Argentina
Christine Haag Germany
Ann Stepanchick United States
Doortje Dekens Netherlands
Andrew Loesch United Kingdom
Francesco Fugetto Italy
Bernard Freudenthal relative to Taeko Hashimoto Japan Taeko Hashimoto's profile →
Citations per field
00.5×1.6×
Taeko Hashimoto · 1×
Citations per year

Countries citing papers authored by Bernard Freudenthal

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Freudenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bernard Freudenthal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bernard Freudenthal Line = papers co-authored together Bernard Freudenthal links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2009105
2 201161
3 201149
4 201619
5 201618
6 20198
7 20223
8 20161
9 20171

About Bernard Freudenthal

Bernard Freudenthal is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Nephrology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 265 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Bone Metabolism and Diseases (2 papers), Hip and Femur Fractures (1 paper), Bone health and osteoporosis research (1 paper), Renal Diseases and Glomerulopathies (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Nephrology (93 citations), Cellular and Molecular Neuroscience (47 citations), Molecular Biology (132 citations), Endocrinology, Diabetes and Metabolism (31 citations) and Pulmonary and Respiratory Medicine (55 citations). Bernard Freudenthal has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Vivette D. D’Agati, Dimitrios-Anestis Moutzouris, Glen S. Markowitz, Jai Radhakrishnan, Gerald B. Appel, Leal Herlitz, Graham R. Williams, Anselm A. Zdebik, Robert Kleta and Detlef Böckenhauer. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, BMJ Open, Nephron Physiology, Clinical Oncology and Journal of Endocrinology.

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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