D. Richter

3.3k total citations
62 papers, 2.6k citations indexed

About

D. Richter is a scholar working on Molecular Biology, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, D. Richter has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Social Psychology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in D. Richter's work include Neuroendocrine regulation and behavior (26 papers), RNA and protein synthesis mechanisms (11 papers) and Neuropeptides and Animal Physiology (9 papers). D. Richter is often cited by papers focused on Neuroendocrine regulation and behavior (26 papers), RNA and protein synthesis mechanisms (11 papers) and Neuropeptides and Animal Physiology (9 papers). D. Richter collaborates with scholars based in Germany, United States and Netherlands. D. Richter's co-authors include Richard Ivell, Hartwig Schmale, Evita Mohr, Susanne Fehr, Wolfgang Meyerhof, K. Lederis, Jörg Heierhorst, C Schönrock, Hartmut Land and Monika Rehbein and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

D. Richter

62 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Richter Germany 30 1.3k 941 653 558 286 62 2.6k
Hartwig Schmale Germany 30 1.3k 1.0× 1.2k 1.2× 698 1.1× 661 1.2× 383 1.3× 63 3.2k
M.E. Stoeckel France 33 1.2k 0.9× 1.1k 1.1× 945 1.4× 1.0k 1.8× 410 1.4× 107 3.4k
J.P.H. Burbach Netherlands 27 943 0.7× 858 0.9× 867 1.3× 695 1.2× 404 1.4× 54 2.3k
B. T. Pickering United Kingdom 27 1.2k 0.9× 319 0.3× 708 1.1× 549 1.0× 308 1.1× 71 2.7k
D. W. LINCOLN United Kingdom 27 1.4k 1.1× 394 0.4× 662 1.0× 964 1.7× 355 1.2× 48 2.6k
Hans H. Zingg Canada 34 2.3k 1.8× 1.0k 1.1× 639 1.0× 1.1k 2.0× 549 1.9× 70 4.0k
W.B. Watkins New Zealand 24 577 0.4× 377 0.4× 586 0.9× 442 0.8× 224 0.8× 101 1.9k
Barry Cross United Kingdom 30 742 0.6× 234 0.2× 414 0.6× 642 1.2× 215 0.8× 58 2.3k
Audrey F. Seasholtz United States 36 917 0.7× 1.4k 1.4× 880 1.3× 512 0.9× 1.8k 6.1× 69 4.2k
Dietmar Richter Germany 50 1.5k 1.2× 3.9k 4.1× 2.0k 3.1× 930 1.7× 417 1.5× 170 6.7k

Countries citing papers authored by D. Richter

Since Specialization
Citations

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

Fields of papers citing papers by D. Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of D. Richter. A scholar is included among the top collaborators of D. Richter 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. Richter. D. Richter 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
1.
Norman, Michael A., Jehn‐Hsiahn Yang, Jónas Magnússon, et al.. (2006). Alterations in glucose homeostasis in SSTR1 gene-ablated mice. Molecular and Cellular Endocrinology. 247(1-2). 82–90. 18 indexed citations
2.
Schäfer, Judith, Harald Baumeister, Wolfgang Meyerhof, Ralf B. Nehring, & D. Richter. (2006). Characterization of Cloned Somatostatin Receptor Subtypes Localization of Rat SSTRs in Gastrointestinal Tissues, SSTR1 Gene Promoter Studies, and Mutational Analyses of SSTR3a. Annals of the New York Academy of Sciences. 805(1). 601–606. 3 indexed citations
3.
Mohr, Evita & D. Richter. (2004). Subcellular Vasopressin mRNA Trafficking and Local Translation in Dendrites. Journal of Neuroendocrinology. 16(4). 333–339. 16 indexed citations
4.
John, Michael, Wolfgang Meyerhof, D. Richter, et al.. (1996). Positive somatostatin receptor scintigraphy correlates with the presence of somatostatin receptor subtype 2.. Gut. 38(1). 33–39. 90 indexed citations
5.
Kesteren, Ronald E. van, Cornelis P. Tensen, August B. Smit, et al.. (1996). Co-evolution of Ligand-Receptor Pairs in the Vasopressin/Oxytocin Superfamily of Bioactive Peptides. Journal of Biological Chemistry. 271(7). 3619–3626. 92 indexed citations
6.
Richters, Anke, Hans‐Jürgen Kreienkamp, Wolfgang Meyerhof, et al.. (1996). Mutational analysis and molecular modeling of the nonapeptide hormone binding domains of the [Arg8]vasotocin receptor.. Proceedings of the National Academy of Sciences. 93(14). 6907–6912. 42 indexed citations
7.
Kesteren, Ronald E. van, Cornelis P. Tensen, August B. Smit, et al.. (1995). A novel G protein-coupled receptor mediating both vasopressin- and oxytocin-like functions of Lys-conopressin in Lymnaea stagnalis. Neuron. 15(4). 897–908. 72 indexed citations
8.
Mohr, Evita, John F. Morris, & D. Richter. (1995). Differential subcellular mRNA targeting: deletion of a single nucleotide prevents the transport to axons but not to dendrites of rat hypothalamic magnocellular neurons.. Proceedings of the National Academy of Sciences. 92(10). 4377–4381. 48 indexed citations
9.
Müller, Dieter, Christian Schulze, Harald Baumeister, Friedrich Buck, & D. Richter. (1992). Rat insulin-degrading enzyme: cleavage pattern of the natriuretic peptide hormones ANP, BNP, and CNP revealed by HPLC and mass spectrometry. Biochemistry. 31(45). 11138–11143. 61 indexed citations
10.
11.
Morley, Steven D., et al.. (1991). Corticotropin-releasing factor (CRF) gene family in the brain of the teleost fish Catostomus commersoni (white sucker): molecular analysis predicts distinct precursors for two CRFs and one urotensin I peptide.. PubMed. 1(1). 48–57. 41 indexed citations
12.
Richter, D., Wolfgang Meyerhof, Fritz Buck, & Steven D. Morley. (1991). Molecular Biology of Receptors for Neuropeptide Hormones. Current topics in pathology. 83. 117–139. 3 indexed citations
13.
Heierhorst, Jörg, Steven D. Morley, Jaime Figueroa, et al.. (1989). Vasotocin and isotocin precursors from the white sucker, Catostomus commersoni: cloning and sequence analysis of the cDNAs.. Proceedings of the National Academy of Sciences. 86(14). 5242–5246. 33 indexed citations
14.
Morley, Steven D., Wolfgang Meyerhof, Jürgen R. Schwarz, & D. Richter. (1988). Functional expression of the oxytocin receptor in Xenopus laevis oocytes primed with mRNA from bovine endometrium. Journal of Molecular Endocrinology. 1(1). 77–81. 17 indexed citations
15.
16.
Richter, D. & K Isono. (1977). The Mechanism of Protein Synthesis-Initiation, Elongation and Termination in Translation of Genetic Messages. Current topics in microbiology and immunology. 76. 83–125. 5 indexed citations
17.
Richter, D., et al.. (1974). The biological function of the TpPsipCpGp loop (loop IV) of tRNAs in various ribosome-dependent reactions.. PubMed. 33(5-6). 609–11. 1 indexed citations
18.
19.
Richter, D.. (1965). FACTORS INFLUENCING THE PROTEIN METABOLISM OF THE BRAIN. British Medical Bulletin. 21(1). 76–80. 15 indexed citations
20.
Richter, D.. (1960). How Many More New Journals?. Nature. 186(4718). 18–19. 3 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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