D M Gorman

1.5k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

D M Gorman is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, D M Gorman has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in D M Gorman's work include Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). D M Gorman is often cited by papers focused on Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). D M Gorman collaborates with scholars based in France, United States and Japan. D M Gorman's co-authors include Toshio Kitamura, Atsushi Miyajima, Takashi Yokota, Kazuhiro Hayashida, K. Arai, Naoto Itoh, Misa Onishi, Garry P. Nolan, Yoshihiro Morikawa and Shigemi Kinoshita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

D M Gorman

9 papers receiving 1.3k citations

Hit Papers

Molecular cloning of a second subunit of the receptor for... 1990 2026 2002 2014 1990 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D M Gorman France 9 825 467 381 193 138 9 1.4k
Trisha Norton Tanzania 18 1.3k 1.6× 841 1.8× 366 1.0× 146 0.8× 80 0.6× 29 2.0k
Roger Ferrini United States 14 1.0k 1.2× 841 1.8× 268 0.7× 143 0.7× 105 0.8× 21 1.9k
Tomoaki Kuwaki Japan 11 417 0.5× 359 0.8× 246 0.6× 309 1.6× 84 0.6× 18 977
Ricciarda Galandrini Italy 26 1.0k 1.3× 481 1.0× 416 1.1× 98 0.5× 108 0.8× 55 1.6k
Toru Fukazawa Japan 19 895 1.1× 710 1.5× 343 0.9× 133 0.7× 393 2.8× 39 1.7k
Juanita Campos-Torres United States 9 643 0.8× 627 1.3× 427 1.1× 52 0.3× 148 1.1× 11 1.4k
Ilana Yron Israel 20 789 1.0× 335 0.7× 432 1.1× 73 0.4× 144 1.0× 42 1.3k
Yun‐Feng Piao China 7 347 0.4× 376 0.8× 222 0.6× 188 1.0× 70 0.5× 10 845
Patricia M. Rosten Canada 14 387 0.5× 915 2.0× 247 0.6× 310 1.6× 117 0.8× 17 1.4k
Jacqueline Kennedy United States 6 1.3k 1.6× 431 0.9× 609 1.6× 95 0.5× 59 0.4× 7 1.7k

Countries citing papers authored by D M Gorman

Since Specialization
Citations

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

Fields of papers citing papers by D M Gorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D M Gorman

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

All Works

9 of 9 papers shown
1.
Capone, Myriam, et al.. (1996). Identification through bioinformatics of cDNAs encoding human thymic shared Ag-1/stem cell Ag-2. A new member of the human Ly-6 family. The Journal of Immunology. 157(3). 969–973. 34 indexed citations
2.
Onishi, Misa, AL Mui, Yoshihiro Morikawa, et al.. (1996). Identification of an oncogenic form of the thrombopoietin receptor MPL using retrovirus-mediated gene transfer. Blood. 88(4). 1399–1406. 75 indexed citations
3.
Onishi, Misa, Shigemi Kinoshita, Yoshihiro Morikawa, et al.. (1996). Applications of retrovirus-mediated expression cloning.. PubMed. 24(2). 324–9. 315 indexed citations
4.
Ichihara, Masatoshi, et al.. (1995). Impaired interleukin-3 (IL-3) response of the A/J mouse is caused by a branch point deletion in the IL-3 receptor alpha subunit gene.. The EMBO Journal. 14(5). 939–950. 38 indexed citations
5.
Mueller, Daniel L., et al.. (1994). Subset of CD4+ T cell clones expressing IL-3 receptor alpha-chains uses IL-3 as a cofactor in autocrine growth.. The Journal of Immunology. 153(7). 3014–3027. 12 indexed citations
6.
7.
Hayashida, Kazuhiro, Toshio Kitamura, D M Gorman, et al.. (1990). Molecular cloning of a second subunit of the receptor for human granulocyte-macrophage colony-stimulating factor (GM-CSF): reconstitution of a high-affinity GM-CSF receptor.. Proceedings of the National Academy of Sciences. 87(24). 9655–9659. 572 indexed citations breakdown →
8.
Gorman, D M, Naoto Itoh, Toshio Kitamura, et al.. (1990). Cloning and expression of a gene encoding an interleukin 3 receptor-like protein: identification of another member of the cytokine receptor gene family.. Proceedings of the National Academy of Sciences. 87(14). 5459–5463. 164 indexed citations
9.
Harada, Nobuyuki, Brian E. Castle, D M Gorman, et al.. (1990). Expression cloning of a cDNA encoding the murine interleukin 4 receptor based on ligand binding.. Proceedings of the National Academy of Sciences. 87(3). 857–861. 101 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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