P. Kramer

2.1k total citations · 1 hit paper
55 papers, 1.5k citations indexed

About

P. Kramer is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, P. Kramer has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Public Health, Environmental and Occupational Health, 20 papers in Reproductive Medicine and 15 papers in Molecular Biology. Recurrent topics in P. Kramer's work include Reproductive Biology and Fertility (20 papers), Ovarian function and disorders (13 papers) and Neuroscience and Neuropharmacology Research (8 papers). P. Kramer is often cited by papers focused on Reproductive Biology and Fertility (20 papers), Ovarian function and disorders (13 papers) and Neuroscience and Neuropharmacology Research (8 papers). P. Kramer collaborates with scholars based in Netherlands, United States and Spain. P. Kramer's co-authors include H. M. A. Meijs-Roelofs, J. Th. J. Uilenbroek, Willy M. Baarends, Jos W. Hoogerbrugge, J. Anton Grootegoed, Veronica A. Alvarez, Roland Bock, Jung Hoon Shin, Zayd M. Khaliq and Alanna R. Kaplan and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

P. Kramer

53 papers receiving 1.5k citations

Hit Papers

An action potential initiation mechanism in distal axons ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Kramer Netherlands 17 530 500 478 451 243 55 1.5k
Clement C. Cheung United States 17 517 1.0× 350 0.7× 701 1.5× 99 0.2× 304 1.3× 33 3.5k
Norio Iijima Japan 24 435 0.8× 556 1.1× 743 1.6× 193 0.4× 261 1.1× 60 2.0k
Xinhuai Liu New Zealand 24 380 0.7× 790 1.6× 1.6k 3.4× 272 0.6× 311 1.3× 36 2.2k
Jorge F. Rodriguez‐Sierra United States 24 334 0.6× 301 0.6× 488 1.0× 155 0.3× 291 1.2× 70 1.6k
Hubert W. Burden United States 22 379 0.7× 208 0.4× 507 1.1× 245 0.5× 121 0.5× 53 1.4k
K.‐Y. Francis Pau United States 26 464 0.9× 420 0.8× 1.2k 2.4× 317 0.7× 250 1.0× 50 2.0k
Andrea Messina France 13 236 0.4× 350 0.7× 575 1.2× 238 0.5× 161 0.7× 20 1.6k
Patrick Chappell United States 21 150 0.3× 358 0.7× 871 1.8× 173 0.4× 529 2.2× 40 1.7k
C. H. Sawyer United States 24 315 0.6× 180 0.4× 653 1.4× 127 0.3× 181 0.7× 76 1.6k
Katrine West United Kingdom 13 422 0.8× 329 0.7× 307 0.6× 261 0.6× 122 0.5× 18 1.3k

Countries citing papers authored by P. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by P. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of P. Kramer. A scholar is included among the top collaborators of P. Kramer 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 P. Kramer. P. Kramer 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.
Seddon, J.M. & P. Kramer. (2025). Intrinsic and synaptic regulation of axonal excitability in dopaminergic neurons. Frontiers in Cellular Neuroscience. 19. 1681044–1681044.
2.
3.
Liu, Changliang, Xintong Cai, Andreas Ritzau‐Jost, et al.. (2022). An action potential initiation mechanism in distal axons for the control of dopamine release. Science. 375(6587). 1378–1385. 122 indexed citations breakdown →
4.
Kramer, P., Alex C. Cummins, Renshu Zhang, et al.. (2022). Synaptic-like axo-axonal transmission from striatal cholinergic interneurons onto dopaminergic fibers. Neuron. 110(18). 2949–2960.e4. 61 indexed citations
5.
Passlick, Stefan, P. Kramer, Matthew T. Richers, John T. Williams, & Graham C. R. Ellis‐Davies. (2017). Two-color, one-photon uncaging of glutamate and GABA. PLoS ONE. 12(11). e0187732–e0187732. 15 indexed citations
7.
Kramer, P. & John T. Williams. (2015). Cocaine Decreases Metabotropic Glutamate Receptor mGluR1 Currents in Dopamine Neurons by Activating mGluR5. Neuropsychopharmacology. 40(10). 2418–2424. 16 indexed citations
8.
Bock, Roland, Jung Hoon Shin, Alanna R. Kaplan, et al.. (2013). Strengthening the accumbal indirect pathway promotes resilience to compulsive cocaine use. Nature Neuroscience. 16(5). 632–638. 229 indexed citations
9.
Kramer, P., Lisa A. Hazelwood, Roland Bock, et al.. (2011). Dopamine D2 Receptor Overexpression Alters Behavior and Physiology in Drd2-EGFP Mice. Journal of Neuroscience. 31(1). 126–132. 87 indexed citations
10.
Uilenbroek, J. Th. J., P. Kramer, Bas Karels, & Frank H. de Jong. (1997). Significance of oestradiol for follicular development in hypogonadotrophic immature rats treated with FSH and hCG. Reproduction. 110(2). 231–236. 4 indexed citations
11.
Samuels, Mary H. & P. Kramer. (1996). Effects of Metoclopramide on Fasting-Induced TSH Suppression. Thyroid. 6(2). 85–89. 10 indexed citations
12.
Uilenbroek, J. Th. J., P. Kramer, Bas Karels, et al.. (1996). Recombinant FSH-induced follicle development in immature rats treated with an LHRH antagonist: a direct effect of RU486 on follicular atresia. Journal of Endocrinology. 150(1). 85–92. 5 indexed citations
13.
Cappellen, Wiggert A. van, et al.. (1995). Recombinant FSH (Org32489) induces follicle growth and ovulation in the adult cyclic rat. Journal of Endocrinology. 144(1). 39–47. 12 indexed citations
14.
Meijs-Roelofs, H. M. A., et al.. (1991). The N-methyl-d-aspartate receptor antagonist MK-801 delays the onset of puberty and may acutely block the first spontaneous LH surge and ovulation in the rat. Journal of Endocrinology. 131(3). 435–441. 12 indexed citations
15.
Kramer, P., et al.. (1991). Ovulation rate, follicle population and FSH levels in cyclic rats after administration of an inhibin-neutralizing antiserum. Journal of Endocrinology. 130(2). 297–303. 6 indexed citations
17.
Meijs-Roelofs, H. M. A., et al.. (1990). Short- and long-term effects of an LHRH antagonist given during the prepubertal period on follicle dynamics in the rat. Journal of Endocrinology. 124(2). 247–253. 11 indexed citations
18.
Cappellen, Wiggert A. van, et al.. (1989). Ovarian Follicle Dynamics in Immature Rats Treated with a Luteinizing Hormone-Releasing Hormone Antagonist (Org. 30276). Biology of Reproduction. 40(6). 1247–1256. 21 indexed citations
19.
Meijs-Roelofs, H. M. A. & P. Kramer. (1988). Effects of treatment with the opioid antagonists naloxone and naltrexone on LH secretion and on sexual maturation in immature female rats. Journal of Endocrinology. 117(2). 237–243. 6 indexed citations
20.
Vallette, G., et al.. (1982). Developmental patterns of levels of corticosterone and of corticosterone binding in the serum of female rats: effects of ovariectomy and adrenalectomy. European Journal of Endocrinology. 101(3). 442–451. 23 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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