Dagmar Malun

1.2k total citations
19 papers, 892 citations indexed

About

Dagmar Malun is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Dagmar Malun has authored 19 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 10 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Genetics. Recurrent topics in Dagmar Malun's work include Neurobiology and Insect Physiology Research (17 papers), Plant and animal studies (10 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Dagmar Malun is often cited by papers focused on Neurobiology and Insect Physiology Research (17 papers), Plant and animal studies (10 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Dagmar Malun collaborates with scholars based in Germany, France and United States. Dagmar Malun's co-authors include Peter C. Brunjes, Martín Giurfa, Jürgen Boeckh, Ulrich Waldow, Dieter Kraus, Olga Ganeshina, Randolf Menzel, Leslie P. Tolbert, Lynne A. Oland and Diana M. Cummings and has published in prestigious journals such as The Journal of Comparative Neurology, European Journal of Neuroscience and Cell and Tissue Research.

In The Last Decade

Dagmar Malun

19 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagmar Malun Germany 17 737 457 358 272 246 19 892
Seetha Bhagavan United States 9 617 0.8× 297 0.6× 334 0.9× 370 1.4× 263 1.1× 14 1.1k
Alan Nighorn United States 19 857 1.2× 236 0.5× 217 0.6× 194 0.7× 226 0.9× 36 1.1k
Karen Menuz United States 14 1.2k 1.6× 477 1.0× 216 0.6× 292 1.1× 422 1.7× 18 1.5k
Lynne A. Oland United States 20 1.0k 1.4× 163 0.4× 180 0.5× 529 1.9× 206 0.8× 40 1.2k
S. G. Matsumoto United States 13 878 1.2× 241 0.5× 251 0.7× 164 0.6× 161 0.7× 16 1.0k
Gerd Bicker Germany 14 679 0.9× 337 0.7× 314 0.9× 84 0.3× 346 1.4× 19 923
Ariane Ramaekers Switzerland 13 757 1.0× 315 0.7× 182 0.5× 118 0.4× 155 0.6× 16 856
Erroll H. Rueckert United States 7 540 0.7× 267 0.6× 114 0.3× 118 0.4× 136 0.6× 8 943
J. G. Hildebrand United States 11 597 0.8× 270 0.6× 192 0.5× 198 0.7× 340 1.4× 11 768
Ryuichi Okada Japan 22 1.1k 1.5× 738 1.6× 579 1.6× 190 0.7× 355 1.4× 54 1.4k

Countries citing papers authored by Dagmar Malun

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Malun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Malun

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

All Works

19 of 19 papers shown
1.
Malun, Dagmar, et al.. (2006). Innervation pattern of suboesophageal ventral unpaired median neurones in the honeybee brain. Cell and Tissue Research. 327(3). 647–667. 64 indexed citations
2.
Sandoz, Jean‐Christophe, et al.. (2005). Partial unilateral lesions of the mushroom bodies affect olfactory learning in honeybees Apis mellifera L.. European Journal of Neuroscience. 21(2). 477–485. 30 indexed citations
3.
Giurfa, Martín & Dagmar Malun. (2004). Associative Mechanosensory Conditioning of the Proboscis Extension Reflex in Honeybees. Learning & Memory. 11(3). 294–302. 38 indexed citations
4.
Malun, Dagmar, et al.. (2003). 20‐hydroxyecdysone inhibits the mitotic activity of neuronal precursors in the developing mushroom bodies of the honeybee, Apis mellifera. Journal of Neurobiology. 57(1). 1–14. 19 indexed citations
5.
Malun, Dagmar, Martín Giurfa, C. Giovanni Galizia, et al.. (2002). Hydroxyurea‐induced partial mushroom body ablation does not affect acquisition and retention of olfactory differential conditioning in honeybees. Journal of Neurobiology. 53(3). 343–360. 28 indexed citations
6.
Giurfa, Martín, et al.. (2002). Successive Olfactory Reversal Learning in Honeybees. Learning & Memory. 9(3). 122–129. 39 indexed citations
7.
Conzelmann, Sidonie, Dagmar Malun, Heinz Breer, & Jörg Strotmann. (2001). Brain targeting and glomerulus formation of two olfactory neuron populations expressing related receptor types. European Journal of Neuroscience. 14(10). 1623–1632. 39 indexed citations
8.
9.
Scheiner, Ricarda, et al.. (2001). Learning in honey bees with brain lesions: how partial mushroom-body ablations affect sucrose responsiveness and tactile antennal learning. Animal Cognition. 3(4). 227–235. 38 indexed citations
10.
Malun, Dagmar, et al.. (2000). Formation of antennal lobe and mushroom body neuropils during metamorphosis in the honeybee,Apis mellifera. The Journal of Comparative Neurology. 422(2). 229–245. 36 indexed citations
11.
Ganeshina, Olga, Sabine Schäfer, & Dagmar Malun. (2000). Proliferation and programmed cell death of neuronal precursors in the mushroom bodies of the honeybee. The Journal of Comparative Neurology. 417(3). 349–349. 2 indexed citations
12.
Ganeshina, Olga, et al.. (2000). Proliferation and programmed cell death of neuronal precursors in the mushroom bodies of the honeybee. The Journal of Comparative Neurology. 417(3). 349–365. 64 indexed citations
13.
14.
Cummings, Diana M., Dagmar Malun, & Peter C. Brunjes. (1997). Development of the anterior commissure in the opossum: Midline extracellular space and glia coincide with early axon decussation. Journal of Neurobiology. 32(4). 403–414. 32 indexed citations
15.
Malun, Dagmar & Peter C. Brunjes. (1996). Development of olfactory glomeruli: Temporal and spatial interactions between olfactory receptor axons and mitral cells in opossums and rats. The Journal of Comparative Neurology. 368(1). 1–16. 117 indexed citations
16.
Malun, Dagmar, Lynne A. Oland, & Leslie P. Tolbert. (1994). Uniglomerular projection neurons participate in early development of olfactory glomeruli in the moth Manduca sexta. The Journal of Comparative Neurology. 350(1). 1–22. 52 indexed citations
17.
Malun, Dagmar, Ulrich Waldow, Dieter Kraus, & Jürgen Boeckh. (1993). Connections between the deutocerebrum and the protocerebrum, and neuroanatomy of several classes of deutocerebral projection neurons in the brain of male Periplaneta americana. The Journal of Comparative Neurology. 329(2). 143–162. 92 indexed citations
18.
19.
Malun, Dagmar. (1991). Inventory and distribution of synapses of identified uniglomerular projection neurons in the antennal lobe of Periplaneta americana. The Journal of Comparative Neurology. 305(2). 348–360. 67 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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