I.F. Palm

1.1k total citations
10 papers, 823 citations indexed

About

I.F. Palm is a scholar working on Endocrine and Autonomic Systems, Social Psychology and Behavioral Neuroscience. According to data from OpenAlex, I.F. Palm has authored 10 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrine and Autonomic Systems, 5 papers in Social Psychology and 3 papers in Behavioral Neuroscience. Recurrent topics in I.F. Palm's work include Neuroendocrine regulation and behavior (5 papers), Circadian rhythm and melatonin (5 papers) and Stress Responses and Cortisol (3 papers). I.F. Palm is often cited by papers focused on Neuroendocrine regulation and behavior (5 papers), Circadian rhythm and melatonin (5 papers) and Stress Responses and Cortisol (3 papers). I.F. Palm collaborates with scholars based in Netherlands, United States and Mexico. I.F. Palm's co-authors include Ruud M. Buijs, Andries Kalsbeek, V.M. Wiegant, Eline M. van der Beek, Stéphanie Perreau‐Lenz, M. Ruiter, Cathy Cailotto, Frank A. J. L. Scheer, Felix Kreier and Susanne E. la Fleur and has published in prestigious journals such as Brain Research, Endocrinology and Neuroscience.

In The Last Decade

I.F. Palm

10 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I.F. Palm Netherlands 8 644 244 228 183 182 10 823
Valeri D. Goncharuk Russia 14 512 0.8× 231 0.9× 197 0.9× 128 0.7× 165 0.9× 21 892
Ian D. Blum Canada 14 596 0.9× 291 1.2× 186 0.8× 57 0.3× 177 1.0× 19 821
Fumio Kawakami Japan 14 400 0.6× 118 0.5× 117 0.5× 173 0.9× 289 1.6× 26 597
Tathiana A. Alvarenga Brazil 17 281 0.4× 167 0.7× 333 1.5× 51 0.3× 126 0.7× 42 800
Shinji Muroya Japan 12 853 1.3× 296 1.2× 410 1.8× 50 0.3× 164 0.9× 17 1.1k
Michiru Hirasawa Canada 17 545 0.8× 105 0.4× 392 1.7× 266 1.5× 373 2.0× 41 1.0k
M H Deng United States 7 660 1.0× 169 0.7× 256 1.1× 54 0.3× 88 0.5× 8 813
Miro Faouzi United States 6 906 1.4× 434 1.8× 266 1.2× 63 0.3× 153 0.8× 6 1.2k
Ágnes Csáki Hungary 13 240 0.4× 63 0.3× 289 1.3× 161 0.9× 349 1.9× 26 647
Keshavan G. Bina Canada 10 362 0.6× 145 0.6× 166 0.7× 78 0.4× 285 1.6× 13 634

Countries citing papers authored by I.F. Palm

Since Specialization
Citations

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

Fields of papers citing papers by I.F. Palm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.F. Palm. 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 I.F. Palm. The network helps show where I.F. Palm may publish in the future.

Co-authorship network of co-authors of I.F. Palm

This figure shows the co-authorship network connecting the top 25 collaborators of I.F. Palm. A scholar is included among the top collaborators of I.F. Palm 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 I.F. Palm. I.F. Palm 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
2.
Hoevenaars, Femke P. M., Jaap Keijer, Laure Herreman, et al.. (2014). Adipose tissue metabolism and inflammation are differently affected by weight loss in obese mice due to either a high-fat diet restriction or change to a low-fat diet. Genes & Nutrition. 9(3). 391–391. 25 indexed citations
3.
Kalsbeek, Andries, I.F. Palm, Susanne E. la Fleur, et al.. (2006). SCN Outputs and the Hypothalamic Balance of Life. Journal of Biological Rhythms. 21(6). 458–469. 352 indexed citations
4.
Zee, Eddy A. van der, I.F. Palm, Margaret O’Connor, et al.. (2004). Aging‐related alterations in the distribution of Ca2+‐dependent PKC isoforms in rabbit hippocampus. Hippocampus. 14(7). 849–860. 25 indexed citations
5.
Palm, I.F., Eline M. van der Beek, V.M. Wiegant, Ruud M. Buijs, & Andries Kalsbeek. (2001). The stimulatory effect of vasopressin on the luteinizing hormone surge in ovariectomized, estradiol-treated rats is time-dependent. Brain Research. 901(1-2). 109–116. 82 indexed citations
6.
Palm, I.F., Eline M. van der Beek, Hans J. M. Swarts, et al.. (2001). Control of the Estradiol-Induced Prolactin Surge by the Suprachiasmatic Nucleus. Endocrinology. 142(6). 2296–2302. 42 indexed citations
7.
Palm, I.F.. (2001). Timing of female reproduction: the role of the suprachiasmatic nucleus. UvA-DARE (University of Amsterdam). 1 indexed citations
8.
Kalsbeek, Andries, Marie‐Laure Garidou, I.F. Palm, et al.. (2000). Melatonin sees the light: blocking GABA‐ergic transmission in the paraventricular nucleus induces daytime secretion of melatonin. European Journal of Neuroscience. 12(9). 3146–3154. 151 indexed citations
9.
Palm, I.F., Eline M. van der Beek, V.M. Wiegant, Ruud M. Buijs, & Andries Kalsbeek. (1999). Vasopressin induces a luteinizing hormone surge in ovariectomized, estradiol-treated rats with lesions of the suprachiasmatic nucleus. Neuroscience. 93(2). 659–666. 132 indexed citations
10.
Beek, Eline M. van der, et al.. (1998). Gender specific apposition of SCN-derived vasopressin-containing axons on GnRH neurons int he preoptic area of adult rats.. Socio-Environmental Systems Modeling. 4 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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