K. Giger

554 total citations
10 papers, 467 citations indexed

About

K. Giger is a scholar working on Cell Biology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, K. Giger has authored 10 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 3 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in K. Giger's work include Cellular Mechanics and Interactions (3 papers), Metabolism and Genetic Disorders (2 papers) and Muscle metabolism and nutrition (2 papers). K. Giger is often cited by papers focused on Cellular Mechanics and Interactions (3 papers), Metabolism and Genetic Disorders (2 papers) and Muscle metabolism and nutrition (2 papers). K. Giger collaborates with scholars based in United States and Switzerland. K. Giger's co-authors include Howard E. Morgan, E Wolpert, Leonard S. Jefferson, A E Broadus, David C. Earl, Ross D. Hannan, P.A. Watson, Marilise Escobar Bürger, Roland Sonntag and Hans-Joerg Senn and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Physiology-Cell Physiology and Journal of Molecular Medicine.

In The Last Decade

K. Giger

10 papers receiving 420 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Giger United States 7 234 178 108 108 47 10 467
Edward P. Bornet United States 9 297 1.3× 75 0.4× 199 1.8× 85 0.8× 112 2.4× 12 501
Yvonne F. de Jong Netherlands 10 324 1.4× 77 0.4× 96 0.9× 155 1.4× 35 0.7× 12 518
Seiichi Tagami Japan 9 342 1.5× 121 0.7× 67 0.6× 181 1.7× 13 0.3× 12 643
David E. Orosz United States 9 533 2.3× 143 0.8× 54 0.5× 421 3.9× 33 0.7× 9 808
Richard L. McCarl United States 12 189 0.8× 29 0.2× 69 0.6× 51 0.5× 67 1.4× 25 381
Christine Des Rosiers Canada 11 313 1.3× 34 0.2× 151 1.4× 165 1.5× 46 1.0× 14 484
R Lüllmann-Rauch Germany 11 238 1.0× 125 0.7× 23 0.2× 258 2.4× 53 1.1× 18 574
A Sen United States 8 544 2.3× 39 0.2× 296 2.7× 150 1.4× 205 4.4× 10 803
E. M. Lars Bastiaanse Netherlands 9 251 1.1× 88 0.5× 110 1.0× 71 0.7× 37 0.8× 13 430
Park Cr 8 159 0.7× 51 0.3× 43 0.4× 116 1.1× 29 0.6× 8 372

Countries citing papers authored by K. Giger

Since Specialization
Citations

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

Fields of papers citing papers by K. Giger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Giger

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

All Works

10 of 10 papers shown
1.
Watson, P.A., et al.. (1996). Desmin gene expression in cardiac myocytes is responsive to contractile activity and stretch. American Journal of Physiology-Cell Physiology. 270(4). C1228–C1235. 23 indexed citations
2.
Watson, P.A., et al.. (1996). Contractile activity and passive stretch regulate tubulin mRNA and protein content in cardiac myocytes. American Journal of Physiology-Cell Physiology. 271(2). C684–C689. 15 indexed citations
3.
Giger, K., et al.. (1991). Activation of adenylate cyclase during swelling of S49 cells in hypotonic medium is not involved in subsequent volume regulation. Molecular and Cellular Biochemistry. 104(1-2). 51–6. 6 indexed citations
4.
Chua, Balvin H.L., et al.. (1984). Differential effects of cysteine on protein and coenzyme A synthesis in rat heart. American Journal of Physiology-Cell Physiology. 247(1). C99–C106. 15 indexed citations
5.
Sonntag, Roland, et al.. (1974). Experience with 4′-demethylepipodophyllotoxin 9-(4,6-o-2-thenylidene-beta-D-glucopyranoside); VM-26; NSC-122819 in the treatment of malignant lymphosis. European Journal of Cancer (1965). 10(2). 93–98. 16 indexed citations
6.
Jefferson, Leonard S., E Wolpert, K. Giger, & Howard E. Morgan. (1971). Regulation of Protein Synthesis in Heart Muscle. Journal of Biological Chemistry. 246(7). 2171–2178. 63 indexed citations
7.
Morgan, Howard E., David C. Earl, A E Broadus, et al.. (1971). Regulation of Protein Synthesis in Heart Muscle. Journal of Biological Chemistry. 246(7). 2152–2162. 308 indexed citations
8.
Giger, K.. (1968). Wirkung von Actinomycin-D auf die Erythropoietinbildung während Hypoxie bei der Ratte. Journal of Molecular Medicine. 46(1). 42–44. 5 indexed citations
9.
Giger, K., et al.. (1957). [Changes in adrenalin and noradrenalin concentrations in human blood plasma under the effects of phentolamine (regitine)].. PubMed. 15(1). 8–13. 2 indexed citations
10.
Bürger, Marilise Escobar, et al.. (1957). Modifikationen zur Fluorescenzmethode von Weil-Malherbe und Bone zur Bestimmung von Adrenalin und Noradrenalin im menschlichen Blutplasma. Naunyn-Schmiedeberg s Archives of Pharmacology. 230(5). 14 indexed citations

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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