Reginald M. Gorczynski

9 total papers · 623 total citations
8 papers, 519 citations indexed

About

Reginald M. Gorczynski is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Reginald M. Gorczynski has authored 8 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Reginald M. Gorczynski's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Reginald M. Gorczynski is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Reginald M. Gorczynski collaborates with scholars based in Canada, Brazil and India. Reginald M. Gorczynski's co-authors include Young‐Yun Kong, Hai P. Nguyen, Richard P. Ellen, Bhagirath Singh, Yen-Tung A. Teng, Josef Penninger, Zane Cohen, Zhiqi Chen, Hua Zeng and Yongliang Sun and has published in prestigious journals such as Journal of Clinical Investigation, Transplantation and Brain Behavior and Immunity.

In The Last Decade

Reginald M. Gorczynski

8 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Reginald M. Gorczynski	265	210	195	138	81	8	519
Yen‐Tung Teng	147 0.6×	228 1.1×	172 0.9×	59 0.4×	43 0.5×	7	490
Mayra Laino Albiero	199 0.8×	385 1.8×	111 0.6×	27 0.2×	33 0.4×	10	604
Buket Han	156 0.6×	406 1.9×	61 0.3×	68 0.5×	80 1.0×	8	529
G L Costa	242 0.9×	29 0.1×	217 1.1×	99 0.7×	42 0.5×	10	612
Ellis Johnson	101 0.4×	164 0.8×	259 1.3×	34 0.2×	35 0.4×	7	498
Anne Havemose‐Poulsen	85 0.3×	302 1.4×	86 0.4×	36 0.3×	56 0.7×	14	501
Liduine A. van den Bersselaar	205 0.8×	76 0.4×	175 0.9×	64 0.5×	41 0.5×	8	511
Hideyuki Sugita	137 0.5×	167 0.8×	47 0.2×	55 0.4×	51 0.6×	10	506
Katia Bourd‐Boittin	132 0.5×	34 0.2×	202 1.0×	93 0.7×	66 0.8×	7	533
Kendra V. Woods	132 0.5×	64 0.3×	124 0.6×	212 1.5×	79 1.0×	13	489

Countries citing papers authored by Reginald M. Gorczynski

Since Specialization

Citations

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

Fields of papers citing papers by Reginald M. Gorczynski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reginald M. Gorczynski

This figure shows the co-authorship network connecting the top 25 collaborators of Reginald M. Gorczynski. A scholar is included among the top collaborators of Reginald M. Gorczynski 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 Reginald M. Gorczynski. Reginald M. Gorczynski 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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