Anthony Venida

2.1k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Anthony Venida is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Anthony Venida has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Anthony Venida's work include Autophagy in Disease and Therapy (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immunotherapy and Immune Responses (2 papers). Anthony Venida is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immunotherapy and Immune Responses (2 papers). Anthony Venida collaborates with scholars based in United States, Israel and United Kingdom. Anthony Venida's co-authors include Rushika M. Perera, Keisuke Yamamoto, Alec C. Kimmelman, Albert S.W. Sohn, Douglas T. Fearon, Douglas E. Biancur, Grace Kim, Jayanta Debnath, Joseph D. Mancias and Elaine Y. Lin and has published in prestigious journals such as Nature, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Anthony Venida

6 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I

2020 844 citations Keisuke Yamamoto, Anthony Venida et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anthony Venida United States	5	664	528	474	377	198	6	1.4k
Kwun Wah Wen United States	14	434 0.7×	700 1.3×	460 1.0×	553 1.5×	197 1.0×	47	1.5k
Jai Rautela Australia	19	1.3k 2.0×	1.0k 2.0×	648 1.4×	124 0.3×	226 1.1×	31	2.1k
Heather Tillman United States	20	419 0.6×	297 0.6×	580 1.2×	115 0.3×	129 0.7×	37	1.2k
Jessica Dal Col Italy	20	550 0.8×	554 1.0×	469 1.0×	131 0.3×	125 0.6×	35	1.2k
Rosa Barreira da Silva United States	12	722 1.1×	456 0.9×	521 1.1×	246 0.7×	139 0.7×	16	1.3k
Thomas U. Marron United States	17	766 1.2×	520 1.0×	337 0.7×	134 0.4×	82 0.4×	87	1.4k
Marcus Lettau Germany	25	1.0k 1.5×	496 0.9×	676 1.4×	127 0.3×	185 0.9×	51	1.6k
Hyun-Il Cho United States	15	1.7k 2.5×	1.1k 2.0×	506 1.1×	159 0.4×	312 1.6×	15	2.2k
Kyle K. Payne United States	22	765 1.2×	699 1.3×	544 1.1×	109 0.3×	227 1.1×	42	1.5k
Swetha Anandhan United States	9	899 1.4×	951 1.8×	612 1.3×	62 0.2×	202 1.0×	13	1.8k

Countries citing papers authored by Anthony Venida

Since Specialization

Citations

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

Fields of papers citing papers by Anthony Venida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony Venida. 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 Anthony Venida. The network helps show where Anthony Venida may publish in the future.

Co-authorship network of co-authors of Anthony Venida

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Allen, Breanna M., Kamir J. Hiam-Galvez, Cassandra E. Burnett, et al.. (2020). Systemic dysfunction and plasticity of the immune macroenvironment in cancer models. Nature Medicine. 26(7). 1125–1134. 233 indexed citations

2.

Yamamoto, Keisuke, Anthony Venida, Douglas E. Biancur, et al.. (2020). Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I. Nature. 581(7806). 100–105. 844 indexed citations breakdown →

3.

Allen, Breanna M., et al.. (2020). The Development, Function, and Plasticity of the Immune Macroenvironment in Cancer. The Journal of Immunology. 204(1_Supplement). 242.21–242.21. 1 indexed citations

4.

Yamamoto, Keisuke, Anthony Venida, Rushika M. Perera, & Alec C. Kimmelman. (2020). Selective autophagy of MHC-I promotes immune evasion of pancreatic cancer. Autophagy. 16(8). 1524–1525. 67 indexed citations

5.

Zuck, Meghan, et al.. (2016). Extrusions are phagocytosed and promote Chlamydia survival within macrophages. Cellular Microbiology. 19(4). e12683–e12683. 40 indexed citations

6.

Lucas, C., Yu Zhang, Anthony Venida, et al.. (2014). Heterozygous splice mutation in PIK3R1 causes human immunodeficiency with lymphoproliferation due to dominant activation of PI3K. The Journal of Experimental Medicine. 211(13). 2537–2547. 186 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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