Martin Kaufmann

8.0k citations
129 papers · 3.8k indexed · 2 hit papers · h-index 29
Topics
Vitamin D Research Studies (62 papers)Bone health and osteoporosis research (14 papers)Hormonal Regulation and Hypertension (11 papers)

In The Last Decade

Martin Kaufmann

120 papers receiving 3.7k citations

Hit Papers

Mutations inCYP24A1and Idiopathic Infantile Hypercalcemia201120262016202120112013100200300400

Peers

Martin Kaufmann
Comparison fields: 5 of 143
  • Pathology and Forensic Medicine 2.4k
  • Nutrition and Dietetics 919
  • Endocrinology, Diabetes and Metabolism 632
  • Molecular Biology 513
  • Nephrology 453
Replace Angela D’Angelo with:
Angela D’Angelo Italy
Matthew M. Yeh United States
Sharon G. Adler United States
Shuichi Tsuruoka Japan
Chaohui Yu China
Eun Hui Bae South Korea
Bernhard R. Winkelmann Germany
P. McNair Denmark
Robin P.F. Dullaart Netherlands
Niansong Wang China
Martin Kaufmann relative to Angela D’Angelo Italy Angela D’Angelo's profile →
Citations per field
00.5×4.7×
Angela D’Angelo · 1×
Citations per year

Countries citing papers authored by Martin Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kaufmann

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 7
6 2
7 1
8 3
9 7
10 7
11 5
12 11
13 10
14
Two French Families with Vitamin D Dependency Rickets Type 1B Harbor Homozygous Recessive Expression Of CYP2R1 Mutations L99P and G42_L46DEL INSR
1
15 26
16 44
17 400
18 34
19 96
20 155

About Martin Kaufmann

Martin Kaufmann is a scholar working on Pathology and Forensic Medicine, Orthopedics and Sports Medicine and Nephrology, having authored 129 papers that have together received 3.8k indexed citations. Recurring topics across this work include Vitamin D Research Studies (62 papers), Bone health and osteoporosis research (14 papers) and Hormonal Regulation and Hypertension (11 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.4k citations), Nephrology (453 citations) and Nutrition and Dietetics (919 citations). Martin Kaufmann has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Glenville Jones, David E. Prosser, Hector F. DeLuca, Jinge Zhu, Martin Konrad, Karl P. Schlingmann, Henry Fehrenbach, Tülay Güran, Stefanie Weber and Eberhard Kuwertz-Bröking. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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