Emil H. Palacios

1.3k total citations · 1 hit paper
8 papers, 994 citations indexed

About

Emil H. Palacios is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Emil H. Palacios has authored 8 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Virology and 2 papers in Molecular Biology. Recurrent topics in Emil H. Palacios's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and HIV Research and Treatment (4 papers). Emil H. Palacios is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and HIV Research and Treatment (4 papers). Emil H. Palacios collaborates with scholars based in United States, Slovakia and Germany. Emil H. Palacios's co-authors include Arthur Weiss, Robert M. Grant, Lih‐Yun Hsu, Byron B. Au‐Yeung, Sebastian Deindl, John Kuriyan, Mark A. Goldsmith, Glenn J. Fennelly, Johan K. Sandberg and Joanna Dobroszycki and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Oncogene.

In The Last Decade

Emil H. Palacios

8 papers receiving 982 citations

Hit Papers

Function of the Src-famil... 2004 2026 2011 2018 2004 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
Emil H. Palacios United States 7 659 319 224 147 80 8 994
James D. Alpers United States 7 464 0.7× 358 1.1× 196 0.9× 267 1.8× 63 0.8× 7 981
Sansana Sawasdikosol United States 22 557 0.8× 699 2.2× 381 1.7× 69 0.5× 87 1.1× 31 1.2k
Shigeto Kawai Japan 14 281 0.4× 339 1.1× 188 0.8× 93 0.6× 145 1.8× 28 837
Carl‐Magnus Högerkorp Sweden 11 309 0.5× 264 0.8× 105 0.5× 102 0.7× 82 1.0× 16 662
Gary M. Jones United States 16 346 0.5× 421 1.3× 164 0.7× 285 1.9× 76 0.9× 32 953
Venkateswara R. Simhadri United States 18 1.1k 1.6× 412 1.3× 349 1.6× 39 0.3× 54 0.7× 21 1.4k
Gabriele Beck‐Engeser United States 19 563 0.9× 465 1.5× 151 0.7× 44 0.3× 210 2.6× 31 1.0k
Marisa M. Juntilla United States 9 328 0.5× 361 1.1× 130 0.6× 162 1.1× 32 0.4× 12 822
Simone Gaedicke Germany 18 354 0.5× 362 1.1× 497 2.2× 62 0.4× 71 0.9× 27 1.0k
Marcus Zachariah United States 11 409 0.6× 353 1.1× 89 0.4× 50 0.3× 48 0.6× 29 1.0k

Countries citing papers authored by Emil H. Palacios

Since Specialization
Citations

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

Fields of papers citing papers by Emil H. Palacios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emil H. Palacios. 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 Emil H. Palacios. The network helps show where Emil H. Palacios may publish in the future.

Co-authorship network of co-authors of Emil H. Palacios

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

All Works

8 of 8 papers shown
1.
Hesslein, David G.T., Emil H. Palacios, Joseph C. Sun, et al.. (2011). Differential requirements for CD45 in NK-cell function reveal distinct roles for Syk-family kinases. Blood. 117(11). 3087–3095. 18 indexed citations
2.
Au‐Yeung, Byron B., Sebastian Deindl, Lih‐Yun Hsu, et al.. (2009). The structure, regulation, and function of ZAP‐70. Immunological Reviews. 228(1). 41–57. 162 indexed citations
3.
Palacios, Emil H. & Arthur Weiss. (2007). Distinct roles for Syk and ZAP-70 during early thymocyte development. The Journal of Experimental Medicine. 204(7). 1703–1715. 60 indexed citations
4.
Palacios, Emil H. & Arthur Weiss. (2004). Function of the Src-family kinases, Lck and Fyn, in T-cell development and activation. Oncogene. 23(48). 7990–8000. 551 indexed citations breakdown →
5.
Hayden, Matthew S., Emil H. Palacios, & Robert M. Grant. (2003). Real-time quantitation of HIV-1 p24 and SIV p27 using fluorescence-linked antigen quantification assays. AIDS. 17(4). 629–631. 6 indexed citations
6.
Sandberg, Johan K., Emil H. Palacios, Glenn J. Fennelly, et al.. (2002). Selective Loss of Innate CD4+Vα24 Natural Killer T Cells in Human Immunodeficiency Virus Infection. Journal of Virology. 76(15). 7528–7534. 116 indexed citations
7.
Schramm, Birgit, Michael L. Penn, Emil H. Palacios, et al.. (2000). Cytopathicity of Human Immunodeficiency Virus Type 2 (HIV-2) in Human Lymphoid Tissue Is Coreceptor Dependent and Comparable to That of HIV-1. Journal of Virology. 74(20). 9594–9600. 56 indexed citations
8.
Palacios, Emil H., Laura Digilio, Zhiwei Chen, et al.. (1998). Parallel evolution of CCR5-null phenotypes in humans and in a natural host of simian immunodeficiency virus. Current Biology. 8(16). 943–S3. 25 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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