Doris Heidmann

750 total citations
10 papers, 608 citations indexed

About

Doris Heidmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Doris Heidmann has authored 10 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Doris Heidmann's work include Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and DNA Repair Mechanisms (2 papers). Doris Heidmann is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and DNA Repair Mechanisms (2 papers). Doris Heidmann collaborates with scholars based in Germany, United States and Austria. Doris Heidmann's co-authors include Ruth Kohen, Mark W. Hamblin, Mark A. Metcalf, Christian F. Lehner, Patricia Szot, Chris R. Guthrie, Kim Nasmyth, Alexander Schleiffer, Stefan Heidmann and Anabel Herr and has published in prestigious journals such as The EMBO Journal, Genetics and Annals of the New York Academy of Sciences.

In The Last Decade

Doris Heidmann

10 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doris Heidmann Germany 10 406 326 82 55 49 10 608
Charles Adkins United Kingdom 9 459 1.1× 339 1.0× 64 0.8× 32 0.6× 81 1.7× 12 658
František Jurský Slovakia 12 367 0.9× 448 1.4× 127 1.5× 21 0.4× 29 0.6× 34 703
Margaret I. Arbuckle United Kingdom 10 430 1.1× 389 1.2× 79 1.0× 26 0.5× 80 1.6× 13 752
Naushaba Nayeem United Kingdom 11 521 1.3× 552 1.7× 40 0.5× 30 0.5× 43 0.9× 16 740
B. Guibert France 18 351 0.9× 551 1.7× 68 0.8× 13 0.2× 109 2.2× 34 873
А. P. Bolshakov Russia 14 368 0.9× 243 0.7× 52 0.6× 57 1.0× 44 0.9× 50 641
Linda Reynolds United States 10 328 0.8× 360 1.1× 24 0.3× 36 0.7× 124 2.5× 12 709
Carlos M. Loya United States 8 235 0.6× 191 0.6× 27 0.3× 38 0.7× 23 0.5× 8 503
Ute Renner Germany 10 476 1.2× 458 1.4× 43 0.5× 13 0.2× 99 2.0× 10 734

Countries citing papers authored by Doris Heidmann

Since Specialization
Citations

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

Fields of papers citing papers by Doris Heidmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doris Heidmann

This figure shows the co-authorship network connecting the top 25 collaborators of Doris Heidmann. A scholar is included among the top collaborators of Doris Heidmann 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 Doris Heidmann. Doris Heidmann 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.
Orth, Michael, Bernd Mayer, Ulli Rothweiler, et al.. (2011). Shugoshin is a Mad1/Cdc20‐like interactor of Mad2. The EMBO Journal. 30(14). 2868–2880. 28 indexed citations
2.
Heidmann, Doris, et al.. (2004). The Drosophila meiotic kleisin C(2)M functions before the meiotic divisions. Chromosoma. 113(4). 177–87. 56 indexed citations
3.
Heidmann, Doris & Christian F. Lehner. (2001). Reduction of Cre recombinase toxicity in proliferating Drosophila cells by estrogen-dependent activity regulation. Development Genes and Evolution. 211(8). 458–465. 49 indexed citations
4.
Kohen, Ruth, et al.. (2001). Cloning of the mouse 5-HT6 serotonin receptor and mutagenesis studies of the third cytoplasmic loop. Molecular Brain Research. 90(2). 110–117. 83 indexed citations
6.
Kohen, Ruth, et al.. (2000). Changes in 5-HT7 serotonin receptor mRNA expression with aging in rat brain. Molecular Brain Research. 79(1-2). 163–168. 14 indexed citations
7.
Hamblin, Mark W., Chris R. Guthrie, Ruth Kohen, & Doris Heidmann. (1998). Gs Protein‐Coupled Serotonin Receptors: Receptor Isoforms and Functional Differences. Annals of the New York Academy of Sciences. 861(1). 31–37. 23 indexed citations
8.
Heidmann, Doris, Patricia Szot, Ruth Kohen, & Mark W. Hamblin. (1998). Function and distribution of three rat 5-hydroxytryptamine7 (5-HT7) receptor isoforms produced by alternative splicing. Neuropharmacology. 37(12). 1621–1632. 97 indexed citations
9.
Heidmann, Doris, Mark A. Metcalf, Ruth Kohen, & Mark W. Hamblin. (1997). Four 5‐Hydroxytryptamine7 (5‐HT7) Receptor Isoforms in Human and Rat Produced by Alternative Splicing: Species Differences Due to Altered Intron‐Exon Organization. Journal of Neurochemistry. 68(4). 1372–1381. 181 indexed citations
10.
Müller, Norbert, Doris Heidmann, Harald Hampel, et al.. (1995). Expression of T Cell [Receptor γδ Antigens in Human Brain Tissue. NeuroImmunoModulation. 2(2). 115–120. 32 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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