D. Kukla

1.5k total citations · 2 hit papers
9 papers, 1.3k citations indexed

About

D. Kukla is a scholar working on Molecular Biology, Biotechnology and Genetics. According to data from OpenAlex, D. Kukla has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Biotechnology and 2 papers in Genetics. Recurrent topics in D. Kukla's work include Enzyme Production and Characterization (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Enzyme Catalysis and Immobilization (2 papers). D. Kukla is often cited by papers focused on Enzyme Production and Characterization (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Enzyme Catalysis and Immobilization (2 papers). D. Kukla collaborates with scholars based in Germany, United Kingdom and United States. D. Kukla's co-authors include Robert Huber, P. Schwager, Klaus Bartels, W. Steigemann, Wolfram Bode, J. Deisenhofer, O. Epp, H. Formanek, Robert Huber and R. Huber and has published in prestigious journals such as Journal of Molecular Biology, European Journal of Biochemistry and Cold Spring Harbor Symposia on Quantitative Biology.

In The Last Decade

D. Kukla

8 papers receiving 1.1k citations

Hit Papers

Structure of the complex formed by bovine trypsin and bov... 1973 2026 1990 2008 1974 1973 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Kukla Germany 8 1.0k 326 184 171 140 9 1.3k
P. Schwager Germany 10 1.3k 1.3× 453 1.4× 231 1.3× 202 1.2× 171 1.2× 12 1.8k
Guenther Schoellmann United States 13 767 0.8× 75 0.2× 187 1.0× 128 0.7× 101 0.7× 19 1.2k
Fernando Marchiori Italy 25 1.6k 1.5× 231 0.7× 153 0.8× 147 0.9× 256 1.8× 89 1.9k
Theo Hofmann Canada 22 1.1k 1.1× 340 1.0× 204 1.1× 191 1.1× 80 0.6× 65 1.4k
R. Tokuoka Japan 8 563 0.6× 129 0.4× 135 0.7× 62 0.4× 141 1.0× 11 935
Y. Muto Japan 26 2.1k 2.0× 204 0.6× 178 1.0× 63 0.4× 150 1.1× 92 2.3k
V. Dhanaraj United Kingdom 18 849 0.8× 202 0.6× 265 1.4× 88 0.5× 103 0.7× 36 1.4k
Thaddeus W. Borun United States 21 1.7k 1.7× 80 0.2× 138 0.8× 36 0.2× 202 1.4× 28 2.1k
Christian K. Engel Germany 14 1.0k 1.0× 279 0.9× 163 0.9× 66 0.4× 106 0.8× 17 1.3k
Hiroaki Terasawa Japan 22 1.1k 1.0× 185 0.6× 262 1.4× 50 0.3× 268 1.9× 45 1.7k

Countries citing papers authored by D. Kukla

Since Specialization
Citations

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

Fields of papers citing papers by D. Kukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Kukla

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

All Works

9 of 9 papers shown
1.
Kukla, D., et al.. (1980). Nicotinic Acid Metabolism. Enzymic Preparation and Absolute Configuration of the Substrate for 2,3-Dimethylmalate Lyase. Hoppe-Seyler´s Zeitschrift für physiologische Chemie. 361(1). 875–884. 8 indexed citations
2.
Wiegand, Georg, D. Kukla, Henning Scholze, Thomas A. Jones, & Robert Huber. (1979). Crystal Structure Analysis of the Tetragonal Crystal Form and Preliminary Molecular Model of Pig‐Heart Citrate Synthase. European Journal of Biochemistry. 93(1). 41–50. 42 indexed citations
3.
Huber, Robert, Wolfram Bode, D. Kukla, Ulrike Köhl, & Clarence A. Ryan. (1975). The structure of the complex formed by bovine trypsin and bovine pancreatic trypsin inhibitor. European Biophysics Journal. 1(3). 189–201. 56 indexed citations
4.
Huber, Robert, D. Kukla, Wolfram Bode, et al.. (1974). Structure of the complex formed by bovine trypsin and bovine pancreatic trypsin inhibitor. Journal of Molecular Biology. 89(1). 73–101. 481 indexed citations breakdown →
5.
Kukla, D., et al.. (1973). Structure of the complex formed by bovine trypsin and bovine pancreatic trypsin inhibitor. Journal of Molecular Biology. 77(3). 417–436. 376 indexed citations breakdown →
6.
Blow, D. M., et al.. (1972). A model for the association of bovine pancreatic trypsin inhibitor with chymotrypsin and trypsin. Journal of Molecular Biology. 69(1). 137–144. 88 indexed citations
7.
Rühlmann, Andreas, Hans J. Schramm, D. Kukla, & Robert Huber. (1972). Pancreatic Trypsin Inhibitor (Kunitz): Part II: Complexes with Proteinases. Cold Spring Harbor Symposia on Quantitative Biology. 36(0). 141–150. 1 indexed citations
8.
Huber, R., D. Kukla, Andreas Rühlmann, & W. Steigemann. (1972). Pancreatic Trypsin Inhibitor (Kunitz): Part I: Structure and function. Cold Spring Harbor Symposia on Quantitative Biology. 36(0). 141–150. 68 indexed citations
9.
Huber, Robert, et al.. (1970). The basic trypsin inhibitor of bovine pancreas. Die Naturwissenschaften. 57(8). 389–392. 139 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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