Farida G. Kaddis

520 total citations
9 papers, 448 citations indexed

About

Farida G. Kaddis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Farida G. Kaddis has authored 9 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Farida G. Kaddis's work include Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Nerve injury and regeneration (3 papers). Farida G. Kaddis is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Nerve injury and regeneration (3 papers). Farida G. Kaddis collaborates with scholars based in United States and France. Farida G. Kaddis's co-authors include Curt R. Freed, Marc Hurlbert, Norman J. Uretsky, Lane J. Wallace, Christina Wasmeier, Wei Zhou, John C. Hutton, Richard T. Layer, Jerome Schaack and W. Michael Zawada and has published in prestigious journals such as Diabetes, Brain Research and Journal of Neurochemistry.

In The Last Decade

Farida G. Kaddis

9 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farida G. Kaddis United States	8	375	267	103	64	38	9	448
Pablo d’Alcantara Belgium	8	291 0.8×	212 0.8×	52 0.5×	84 1.3×	25 0.7×	9	452
Brigitte Dumartin France	8	498 1.3×	332 1.2×	112 1.1×	85 1.3×	104 2.7×	8	621
Toshiaki Hattori Canada	10	521 1.4×	199 0.7×	180 1.7×	127 2.0×	51 1.3×	17	631
Donald Dassesse Belgium	13	264 0.7×	217 0.8×	71 0.7×	30 0.5×	19 0.5×	17	440
Francine Trent United States	8	417 1.1×	196 0.7×	70 0.7×	159 2.5×	56 1.5×	8	513
Igor Rafalovich United States	9	330 0.9×	238 0.9×	93 0.9×	43 0.7×	44 1.2×	9	445
Sophia T. Papadeas United States	8	223 0.6×	214 0.8×	169 1.6×	59 0.9×	44 1.2×	8	491
Kotaro Shimoda United States	11	244 0.7×	175 0.7×	63 0.6×	44 0.7×	114 3.0×	12	377
C. A. Fox United States	7	306 0.8×	107 0.4×	140 1.4×	90 1.4×	45 1.2×	8	451
H.R. Widmer Switzerland	9	266 0.7×	121 0.5×	68 0.7×	63 1.0×	151 4.0×	9	363

Countries citing papers authored by Farida G. Kaddis

Since Specialization

Citations

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

Fields of papers citing papers by Farida G. Kaddis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farida G. Kaddis. 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 Farida G. Kaddis. The network helps show where Farida G. Kaddis may publish in the future.

Co-authorship network of co-authors of Farida G. Kaddis

This figure shows the co-authorship network connecting the top 25 collaborators of Farida G. Kaddis. A scholar is included among the top collaborators of Farida G. Kaddis 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 Farida G. Kaddis. Farida G. Kaddis 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

Kaddis, Farida G., et al.. (2000). Co-grafts of muscle cells and mesencephalic tissue into hemiparkinsonian rats: behavioral and histochemical effects. Brain Research Bulletin. 51(3). 203–211. 3 indexed citations

Hurlbert, Marc, et al.. (1999). Neural Transplantation of hNT Neurons for Huntington's Disease. Cell Transplantation. 8(1). 143–151. 59 indexed citations

Hurlbert, Marc, Wei Zhou, Christina Wasmeier, et al.. (1999). Mice transgenic for an expanded CAG repeat in the Huntington's disease gene develop diabetes.. Diabetes. 48(3). 649–651. 187 indexed citations

Kaddis, Farida G., Edward D. Clarkson, Michel Weber, et al.. (1997). Intrastriatal Grafting of Cos Cells Stably Expressing Human Aromatic l‐Amino Acid Decarboxylase: Neurochemical Effects. Journal of Neurochemistry. 68(4). 1520–1526. 10 indexed citations

Kaddis, Farida G., W. Michael Zawada, Jerome Schaack, & Curt R. Freed. (1996). Conditioned medium from aged monkey fibroblasts stably expressing GDNF and BDNF improves survival of embryonic dopamine neurons in vitro. Cell and Tissue Research. 286(2). 241–247. 17 indexed citations

Kaddis, Farida G., Norman J. Uretsky, & Lane J. Wallace. (1995). DNQX in the nucleus accumbens inhibits cocaine-induced conditioned place preference. Brain Research. 697(1-2). 76–82. 56 indexed citations

Kaddis, Farida G., Lane J. Wallace, & Norman J. Uretsky. (1993). AMPA/kainate antagonists in the nucleus accumbens inhibit locomotor stimulatory response to cocaine and dopamine agonists. Pharmacology Biochemistry and Behavior. 46(3). 703–708. 57 indexed citations

Layer, Richard T., et al.. (1993). The NMDA receptor antagonist MK-801 elicits conditioned place preference in rats. Pharmacology Biochemistry and Behavior. 44(1). 245–247. 50 indexed citations

Holley, Daniel C., et al.. (1991). Pineal physiology in microgravity: relation to rat gonadal function aboard Cosmos 1887.. PubMed. 62(10). 953–8. 9 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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