Debra G. Goodwin

13 total papers · 472 total citations
7 papers, 256 citations indexed

About

Debra G. Goodwin is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Debra G. Goodwin has authored 7 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Pharmacology. Recurrent topics in Debra G. Goodwin's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Immune Cell Function and Interaction (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Debra G. Goodwin is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Immune Cell Function and Interaction (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Debra G. Goodwin collaborates with scholars based in United States, Canada and United Kingdom. Debra G. Goodwin's co-authors include Cheryl Nickerson‐Nutter, Debra D. Pittman, Mary Collins, Yijun Carrier, Scott H. Schelling, Lynette A. Fouser, Spencer C. Liang, Kathleen Shields, Hak‐Ling Ma and Kyriaki Dunussi‐Joannopoulos and has published in prestigious journals such as The Journal of Immunology, Journal of Medicinal Chemistry and Neuropharmacology.

In The Last Decade

Debra G. Goodwin

7 papers receiving 252 citations

Author Peers

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

Author						Papers	Cites
Debra G. Goodwin	108	92	45	27	25	7	256
S. Yoshizawa	67 0.6×	108 1.2×	26 0.6×	15 0.6×	12 0.5×	8	249
Simone Torretta	73 0.7×	135 1.5×	41 0.9×	53 2.0×	58 2.3×	7	306
Kirsten Roebrock	108 1.0×	132 1.4×	26 0.6×	11 0.4×	38 1.5×	7	298
Nandadeep J. Jadhav	86 0.8×	58 0.6×	101 2.2×	37 1.4×	23 0.9×	7	281
Krystal Herman	112 1.0×	67 0.7×	19 0.4×	42 1.6×	11 0.4×	6	213
Noushin Lotfi	111 1.0×	74 0.8×	13 0.3×	48 1.8×	17 0.7×	10	302
Bastian Baumgartner	61 0.6×	146 1.6×	21 0.5×	26 1.0×	14 0.6×	5	263
Steven Fletcher	89 0.8×	180 2.0×	73 1.6×	36 1.3×	32 1.3×	9	317
Alamelu Chandrasekaran	71 0.7×	83 0.9×	36 0.8×	31 1.1×	31 1.2×	8	212
Nada S. Aboelella	73 0.7×	125 1.4×	18 0.4×	69 2.6×	16 0.6×	6	278

Countries citing papers authored by Debra G. Goodwin

Since Specialization

Citations

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

Fields of papers citing papers by Debra G. Goodwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra G. Goodwin

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