Warren E. Hochfeld

1.2k total citations · 1 hit paper
8 papers, 970 citations indexed

About

Warren E. Hochfeld is a scholar working on Epidemiology, Neurology and Molecular Biology. According to data from OpenAlex, Warren E. Hochfeld has authored 8 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Warren E. Hochfeld's work include Autophagy in Disease and Therapy (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Warren E. Hochfeld is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Warren E. Hochfeld collaborates with scholars based in United Kingdom, Switzerland and South Africa. Warren E. Hochfeld's co-authors include Michael S. Pepper, Renier Myburgh, Aus Tariq Ali, David C. Rubinsztein, Moisés Garcı́a-Arencibia, Daniel Metcalf, Shirley Lee, Simon L. Goodman, Arvind P. Pathak and Kévin Moreau and has published in prestigious journals such as Nature Communications, Pharmacology & Therapeutics and Experimental Neurology.

In The Last Decade

Warren E. Hochfeld

8 papers receiving 955 citations

Hit Papers

Adipocyte and adipogenesis 2013 2026 2017 2021 2013 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
Warren E. Hochfeld United Kingdom 8 387 384 336 130 96 8 970
Jacqueline Hernández‐Damián Mexico 8 522 1.3× 423 1.1× 138 0.4× 76 0.6× 112 1.2× 9 1.1k
Agnieszka Karkucińska‐Więckowska Poland 20 943 2.4× 284 0.7× 249 0.7× 133 1.0× 135 1.4× 48 1.5k
Nurit Hadad Israel 18 375 1.0× 401 1.0× 344 1.0× 46 0.4× 72 0.8× 40 1.2k
Myung‐Ho Kim South Korea 13 286 0.7× 219 0.6× 108 0.3× 63 0.5× 50 0.5× 29 882
Chiara Zerbinati Italy 19 591 1.5× 153 0.4× 223 0.7× 82 0.6× 113 1.2× 31 1.3k
Satoshi Akiba Japan 25 790 2.0× 182 0.5× 250 0.7× 133 1.0× 188 2.0× 74 1.6k
Daniel Garcia United States 7 1.1k 2.9× 614 1.6× 399 1.2× 122 0.9× 250 2.6× 8 1.9k
Jing Lü China 21 471 1.2× 144 0.4× 147 0.4× 99 0.8× 99 1.0× 73 1.1k
Verena Albert Switzerland 15 849 2.2× 365 1.0× 493 1.5× 188 1.4× 104 1.1× 15 1.7k
Yasuo Wakabayashi Japan 20 418 1.1× 151 0.4× 425 1.3× 129 1.0× 122 1.3× 46 1.3k

Countries citing papers authored by Warren E. Hochfeld

Since Specialization
Citations

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

Fields of papers citing papers by Warren E. Hochfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren E. Hochfeld. 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 Warren E. Hochfeld. The network helps show where Warren E. Hochfeld may publish in the future.

Co-authorship network of co-authors of Warren E. Hochfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Warren E. Hochfeld. A scholar is included among the top collaborators of Warren E. Hochfeld 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 Warren E. Hochfeld. Warren E. Hochfeld 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.
Moreau, Kévin, Ghita Ghislat, Warren E. Hochfeld, et al.. (2015). Transcriptional regulation of Annexin A2 promotes starvation-induced autophagy. Nature Communications. 6(1). 8045–8045. 70 indexed citations
2.
Hochfeld, Warren E., Heidi Fickl, Chrisna Durandt, et al.. (2013). Introduction of the AmpliChip CYP450 Test to a South African cohort: a platform comparative prospective cohort study. BMC Medical Genetics. 14(1). 20–20. 42 indexed citations
3.
Ali, Aus Tariq, Warren E. Hochfeld, Renier Myburgh, & Michael S. Pepper. (2013). Adipocyte and adipogenesis. European Journal of Cell Biology. 92(6-7). 229–236. 501 indexed citations breakdown →
4.
Hochfeld, Warren E., Shirley Lee, & David C. Rubinsztein. (2013). Therapeutic induction of autophagy to modulate neurodegenerative disease progression. Acta Pharmacologica Sinica. 34(5). 600–604. 46 indexed citations
5.
Myburgh, Renier, et al.. (2011). Cardiovascular pharmacogenetics. Pharmacology & Therapeutics. 133(3). 280–290. 16 indexed citations
6.
Garcı́a-Arencibia, Moisés, et al.. (2010). Autophagy, a guardian against neurodegeneration. Seminars in Cell and Developmental Biology. 21(7). 691–698. 141 indexed citations
7.
Metcalf, Daniel, Moisés Garcı́a-Arencibia, Warren E. Hochfeld, & David C. Rubinsztein. (2010). Autophagy and misfolded proteins in neurodegeneration. Experimental Neurology. 238(1). 22–28. 112 indexed citations
8.
Pathak, Arvind P., Warren E. Hochfeld, Simon L. Goodman, & Michael S. Pepper. (2008). Circulating and imaging markers for angiogenesis. Angiogenesis. 11(4). 321–335. 42 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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