H.G. Kraft

54 papers receiving 2.7k citations

Hit Papers

Lp(a) glycoprotein phenotypes. Inheritance and relation t...19872026200020131987200400600

Peers

H.G. Kraft
Comparison fields: 5 of 104
  • Surgery 2.1k
  • Cancer Research 956
  • Endocrinology, Diabetes and Metabolism 834
  • Molecular Biology 629
  • Cardiology and Cardiovascular Medicine 486
Replace David P. Wade with:
David P. Wade United Kingdom
Gunther M. Fless United States
G M Fless United States
A M Scanu United States
R.P. Naoumova United Kingdom
Arno Lingenhel Austria
Kohichiroh Yasui Japan
Calvin Yeang United States
Ihor S. Sawczuk United States
Nina J. Karlin United States
H.G. Kraft relative to David P. Wade United Kingdom David P. Wade's profile →
Citations per field
00.5×1.6×
David P. Wade · 1×
Citations per year

Countries citing papers authored by H.G. Kraft

Since Specialization
Citations

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

Fields of papers citing papers by H.G. Kraft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H.G. Kraft

This figure shows the co-authorship network connecting the top 25 collaborators of H.G. Kraft. A scholar is included among the top collaborators of H.G. Kraft 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 H.G. Kraft. H.G. Kraft 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 14
2 20
3
Hyperhomocyst(e)inemia is an important risk factor for vascular disease in subjects with high-molecular weight apo(a) isoforms : cardiovascular topics
2
4
Hyperhomocyst(e)inemia is an important risk factor for vascular disease in subjects with high-molecular weight apo(a) isoforms.
1
5 30
6
Contribution spéléologique à la gestion durable d’un lac de montagne: traçages sur le bassin-versant du Königsee (Alpes de Berchtesgaden, Bavière, Allemagne)
2
7 154
8 62
9 17
10 13
11 14
12 169
13 38
14 15
15 13
16 5
17 10
18 4
19 1
20 1

About H.G. Kraft

H.G. Kraft is a scholar working on Cancer Research, Equine and Surgery, having authored 59 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Protease and Inhibitor Mechanisms (7 papers) and Cancer, Lipids, and Metabolism (7 papers). The work is most often cited by research in Cancer Research (956 citations), Endocrinology, Diabetes and Metabolism (834 citations) and Surgery (2.1k citations). H.G. Kraft has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Gerd Utermann, H. Menzel, Hans‐Christoph Duba, Arno Lingenhel, Fritz Hoppichler, C. Sandholzer, Eric Boerwinkle, W. Vogel, Christoph Brunner and H.-J. Müller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Annals of the New York Academy of Sciences.

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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