K Schultz

447 citations
7 papers · 406 · h-index 4

Impact in

Papers in

    • Surgical Simulation and Training 2
    • Simulation-Based Education in Healthcare 1
    • Body Composition Measurement Techniques 1
    • Adenosine and Purinergic Signaling 1

K Schultz

7 papers receiving 358 citations

Peers

K Schultz
Comparison fields: 5 of 83
  • Physiology 214
  • Cardiology and Cardiovascular Medicine 116
  • Biochemistry 30
  • Cellular and Molecular Neuroscience 52
  • Physiology 13
Replace Klaus-Dieter Schultz with:
Klaus-Dieter Schultz Germany
Paul A. Velletri United States
Gensho Iwami Japan
Salma Toma Hanna Canada
Cleber E. Teixeira Brazil
S. Mondot France
Han-liang Zhou United States
Hisanori Hazama Japan
Irina G. Rybalkina United States
D. M. Kaji United States
K Schultz relative to Klaus-Dieter Schultz Germany Klaus-Dieter Schultz's profile →
Citations per field
00.5×1.5×
Klaus-Dieter Schultz · 1×
Citations per year

Countries citing papers authored by K Schultz

Since Specialization
Citations

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

Fields of papers citing papers by K Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside K Schultz, 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 K Schultz Line = papers co-authored together K Schultz links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1977384
2 199113
3
[Double liver-kidney transplantation in the presence of a positive T cross-match].
19923
4 20193
5 20241
6
Plasma somatomedin activity and nutrition in the newborn infant.
19841
7
The elimination of free fatty acids, free glycerol and triglycerides from the plasma of low-birth-weight infants receiving intravenous fat emulsion and glucose.
19761

About K Schultz

K Schultz is a scholar working on Surgery, Physiology, Molecular Biology, Computer Vision and Pattern Recognition and Oncology, having authored 7 papers that have together received 406 indexed citations. Recurring topics across this work include Surgical Simulation and Training (2 papers), Simulation-Based Education in Healthcare (1 paper), Body Composition Measurement Techniques (1 paper), Liver Diseases and Immunity (1 paper), Media, Gender, and Advertising (1 paper), Ion channel regulation and function (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Physiology (214 citations), Cardiology and Cardiovascular Medicine (116 citations), Biochemistry (30 citations), Cellular and Molecular Neuroscience (52 citations) and Physiology (13 citations). K Schultz has collaborated with scholars based in Germany, France and Brazil. Frequent co-authors include Klaus-Dieter Schultz, Günter Schultz, J. Mestyán, Daniel Cherqui, Philippe Bierling, Daniel Dhumeaux and B Bourgeon. Their work appears in journals such as Journal of Laparoendoscopic & Advanced Surgical Techniques, Nature, Revista do Colégio Brasileiro de Cirurgiões and PubMed.

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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