Ines Heise

603 total citations
9 papers, 228 citations indexed

About

Ines Heise is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Neurology. According to data from OpenAlex, Ines Heise has authored 9 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Endocrine and Autonomic Systems and 2 papers in Neurology. Recurrent topics in Ines Heise's work include Prion Diseases and Protein Misfolding (3 papers), Circadian rhythm and melatonin (3 papers) and Trace Elements in Health (2 papers). Ines Heise is often cited by papers focused on Prion Diseases and Protein Misfolding (3 papers), Circadian rhythm and melatonin (3 papers) and Trace Elements in Health (2 papers). Ines Heise collaborates with scholars based in United Kingdom, Germany and Italy. Ines Heise's co-authors include Michael Baier, Patrick M. Nolan, Constanze Riemer, Sara Wells, Gareth Banks, Stuart N. Peirson, F. Foster, Kazimierz Madela, Nikola Holtkamp and Daniel K. Hsu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Science Advances and Neurobiology of Aging.

In The Last Decade

Ines Heise

9 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ines Heise United Kingdom	8	120	51	48	43	40	9	228
Joshua Ortiz‐Guzman United States	10	120 1.0×	96 1.9×	61 1.3×	46 1.1×	69 1.7×	18	386
Federico Del Gallo Italy	11	73 0.6×	59 1.2×	41 0.9×	28 0.7×	97 2.4×	17	267
Pyry Koivula United States	7	53 0.4×	49 1.0×	43 0.9×	33 0.8×	68 1.7×	8	202
Jean Vincent France	10	104 0.9×	71 1.4×	48 1.0×	85 2.0×	52 1.3×	14	403
Aenea Hendry United Kingdom	7	119 1.0×	20 0.4×	37 0.8×	44 1.0×	58 1.4×	7	304
Isabella Herman United States	8	76 0.6×	45 0.9×	22 0.5×	17 0.4×	33 0.8×	16	224
Adrian Centers United States	9	247 2.1×	74 1.5×	28 0.6×	72 1.7×	28 0.7×	11	440
Michael Candlish Germany	7	90 0.8×	50 1.0×	25 0.5×	26 0.6×	7 0.2×	10	276
Jorge A. Gómez United States	9	116 1.0×	24 0.5×	24 0.5×	28 0.7×	77 1.9×	16	329
Madeleine Hurry United Kingdom	6	110 0.9×	29 0.6×	44 0.9×	25 0.6×	56 1.4×	8	299

Countries citing papers authored by Ines Heise

Since Specialization

Citations

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

Fields of papers citing papers by Ines Heise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ines Heise

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

All Works

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9 of 9 papers shown

1.

Banks, Gareth, Mathilde C. C. Guillaumin, Ines Heise, et al.. (2020). Forward genetics identifies a novel sleep mutant with sleep state inertia and REM sleep deficits. Science Advances. 6(33). eabb3567–eabb3567. 11 indexed citations

2.

Heise, Ines, Gareth Banks, Sara Wells, et al.. (2015). Sleep‐like behavior and 24‐h rhythm disruption in the Tc1 mouse model of Down syndrome. Genes Brain & Behavior. 14(2). 209–216. 15 indexed citations

3.

Banks, Gareth, Ines Heise, Laura Wisby, et al.. (2014). Genetic background influences age-related decline in visual and nonvisual retinal responses, circadian rhythms, and sleep. Neurobiology of Aging. 36(1). 380–393. 57 indexed citations

4.

Mandillo, Silvia, Ines Heise, Glauco P. Tocchini‐Valentini, et al.. (2014). Early motor deficits in mouse disease models are reliably uncovered using an automated home cage wheel-running system: a cross-laboratory validation. Disease Models & Mechanisms. 7(3). 397–407. 23 indexed citations

5.

Maggi, Silvia, Ines Heise, Thierry Nieus, et al.. (2013). A Cross-Laboratory Investigation of Timing Endophenotypes in Mouse Behavior. Timing & Time Perception. 2(1). 35–50. 19 indexed citations

6.

Riemer, Constanze, et al.. (2009). Neuroinflammation in Prion Diseases: Concepts and Targets for Therapeutic Intervention. CNS & Neurological Disorders - Drug Targets. 8(5). 329–341. 14 indexed citations

7.

Laue, Michael, et al.. (2009). Prion disease development in slow Wallerian degeneration (WldS) mice. Neuroscience Letters. 456(2). 93–98. 5 indexed citations

8.

Riemer, Constanze, Michael Burwinkel, Anja Schwarz, et al.. (2008). Evaluation of drugs for treatment of prion infections of the central nervous system. Journal of General Virology. 89(2). 594–597. 30 indexed citations

9.

Riemer, Constanze, Kazimierz Madela, Daniel K. Hsu, et al.. (2007). Role of galectin-3 in prion infections of the CNS. Biochemical and Biophysical Research Communications. 359(3). 672–678. 54 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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