Reyna S. Goodman

16 total papers · 640 total citations
12 papers, 358 citations indexed

About

Reyna S. Goodman is a scholar working on Immunology, Transplantation and Hematology. According to data from OpenAlex, Reyna S. Goodman has authored 12 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Transplantation and 3 papers in Hematology. Recurrent topics in Reyna S. Goodman's work include T-cell and B-cell Immunology (6 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Immunotherapy and Immune Responses (4 papers). Reyna S. Goodman is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Immunotherapy and Immune Responses (4 papers). Reyna S. Goodman collaborates with scholars based in United Kingdom, Belgium and United States. Reyna S. Goodman's co-authors include Craig J. Taylor, J. Andrew Bradley, Timothy J. Key, Christopher J.E. Watson, D. A. S. Compston, An Goris, Linda Sharples, Afzal Chaudhry, Tim Key and Vasilis Kosmoliaptsis and has published in prestigious journals such as PLoS ONE, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Reyna S. Goodman

12 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Reyna S. Goodman	149	138	97	89	45	12	358
T. B. STROM	196 1.3×	117 0.8×	101 1.0×	26 0.3×	44 1.0×	10	376
Chris van der Loos	139 0.9×	37 0.3×	53 0.5×	25 0.3×	50 1.1×	13	334
Yessia Hidalgo	183 1.2×	26 0.2×	40 0.4×	15 0.2×	25 0.6×	18	382
A. Karras	156 1.0×	186 1.3×	88 0.9×	33 0.4×	41 0.9×	16	371
Caodi Fang	121 0.8×	35 0.3×	44 0.5×	9 0.1×	26 0.6×	9	309
Miriam Moscovitch‐Lopatin	153 1.0×	33 0.2×	57 0.6×	7 0.1×	42 0.9×	11	353
Lina Tian	208 1.4×	37 0.3×	78 0.8×	70 0.8×	7 0.2×	14	378
P. Ruiz	87 0.6×	75 0.5×	213 2.2×	13 0.1×	15 0.3×	13	344
Wesley M. Marin	264 1.8×	12 0.1×	19 0.2×	34 0.4×	22 0.5×	14	352
Denise Sickert	163 1.1×	28 0.2×	49 0.5×	9 0.1×	24 0.5×	13	359

Countries citing papers authored by Reyna S. Goodman

Since Specialization

Citations

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

Fields of papers citing papers by Reyna S. Goodman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reyna S. Goodman. 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 Reyna S. Goodman. The network helps show where Reyna S. Goodman may publish in the future.

Co-authorship network of co-authors of Reyna S. Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Reyna S. Goodman. A scholar is included among the top collaborators of Reyna S. Goodman 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 Reyna S. Goodman. Reyna S. Goodman 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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