Frank M. Nedza

8 total papers · 901 total citations
5 papers, 229 citations indexed

About

Frank M. Nedza is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Frank M. Nedza has authored 5 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Pharmacology. Recurrent topics in Frank M. Nedza's work include Receptor Mechanisms and Signaling (3 papers), Neuroscience and Neuropharmacology Research (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). Frank M. Nedza is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Neuroscience and Neuropharmacology Research (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). Frank M. Nedza collaborates with scholars based in United States. Frank M. Nedza's co-authors include Douglas K. Spracklin, Hans Rollema, Laurine G. Galya, Swamy Yeleswaram, M. W. Miller, Éva Hajós‐Korcsok, Adam D. Shilling, Tai‐Yuen Yue, Naresh Punwani and William V. Williams and has published in prestigious journals such as Schizophrenia Bulletin, European Journal of Pharmacology and Drug Metabolism and Disposition.

In The Last Decade

Frank M. Nedza

5 papers receiving 220 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Frank M. Nedza	100	63	46	46	33	5	229
Ambili T. Appukuttan	133 1.3×	12 0.2×	35 0.8×	14 0.3×	37 1.1×	7	325
Robert Neely	149 1.5×	10 0.2×	22 0.5×	47 1.0×	38 1.2×	10	297
A. Hofman	113 1.1×	38 0.6×	8 0.2×	26 0.6×	19 0.6×	4	292
Priscilla Riva	57 0.6×	42 0.7×	31 0.7×	19 0.4×	47 1.4×	3	253
Yuexian Xu	125 1.3×	24 0.4×	13 0.3×	11 0.2×	28 0.8×	6	323
Alexandra Gyllenberg	85 0.8×	5 0.1×	13 0.3×	28 0.6×	9 0.3×	6	312
Paweł Znojek	143 1.4×	21 0.3×	29 0.6×	16 0.3×	44 1.3×	11	331
Nobuyuki Umegae	92 0.9×	9 0.1×	46 1.0×	17 0.4×	36 1.1×	9	318
L Wang	98 1.0×	10 0.2×	5 0.1×	25 0.5×	13 0.4×	7	294
Kevin L. Best	72 0.7×	6 0.1×	13 0.3×	67 1.5×	85 2.6×	10	325

Countries citing papers authored by Frank M. Nedza

Since Specialization

Citations

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

Fields of papers citing papers by Frank M. Nedza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank M. Nedza. 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 Frank M. Nedza. The network helps show where Frank M. Nedza may publish in the future.

Co-authorship network of co-authors of Frank M. Nedza

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

All Works

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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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