Jeffrey W. Hofmann

1.4k total citations
25 papers, 612 citations indexed

About

Jeffrey W. Hofmann is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Jeffrey W. Hofmann has authored 25 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Physiology. Recurrent topics in Jeffrey W. Hofmann's work include Platelet Disorders and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Jeffrey W. Hofmann is often cited by papers focused on Platelet Disorders and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Jeffrey W. Hofmann collaborates with scholars based in United States, Canada and France. Jeffrey W. Hofmann's co-authors include John M. Sedivy, David A. Solomon, Sean P. Ferris, Arie Perry, Nicola Neretti, Xiaoai Zhao, Marco De Cecco, Kristi L. Montooth, David M. Rand and Tony McBryan and has published in prestigious journals such as Cell, Journal of the American Academy of Dermatology and BioEssays.

In The Last Decade

Jeffrey W. Hofmann

20 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey W. Hofmann United States 9 330 103 98 98 80 25 612
Xingxing Xu China 15 595 1.8× 96 0.9× 67 0.7× 116 1.2× 74 0.9× 33 934
César Payán‐Gómez Colombia 13 281 0.9× 72 0.7× 115 1.2× 73 0.7× 38 0.5× 48 557
Chai-Fei Li United States 10 202 0.6× 91 0.9× 254 2.6× 140 1.4× 45 0.6× 12 633
Maureen McNulty United States 8 335 1.0× 145 1.4× 182 1.9× 47 0.5× 66 0.8× 10 636
Junchang Li China 15 288 0.9× 92 0.9× 106 1.1× 52 0.5× 74 0.9× 33 629
Aurore L’honoré France 14 655 2.0× 60 0.6× 108 1.1× 117 1.2× 31 0.4× 17 777
Hiroaki Kajiho Japan 15 552 1.7× 66 0.6× 126 1.3× 63 0.6× 97 1.2× 24 880
Kati J. Ahlqvist Finland 10 722 2.2× 70 0.7× 110 1.1× 38 0.4× 40 0.5× 12 889
Clara Soria‐Valles Spain 14 704 2.1× 157 1.5× 207 2.1× 68 0.7× 142 1.8× 17 1.1k
Daniel D. Kaplan United States 11 684 2.1× 53 0.5× 217 2.2× 82 0.8× 105 1.3× 20 1.2k

Countries citing papers authored by Jeffrey W. Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey W. Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey W. Hofmann. 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 Jeffrey W. Hofmann. The network helps show where Jeffrey W. Hofmann may publish in the future.

Co-authorship network of co-authors of Jeffrey W. Hofmann

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

All Works

20 of 20 papers shown
2.
Gu, Xiaowu, Tom Truong, Tae‐Hoon Kim, et al.. (2025). Evaluating the Optic Nerve Crush Model to Understand the Function of Microglia in Glaucoma Neuroprotection. Investigative Ophthalmology & Visual Science. 66(12). 56–56.
3.
Katschke, Kenneth J., Tom Truong, Victoria C. Pham, et al.. (2025). HTRA1-dependent proteolysis induces age-related retinal degeneration and exacerbates choroidal neovascularization. Disease Models & Mechanisms. 18(10).
4.
Viskochil, David, et al.. (2021). Multiple Intraspinal Gangliogliomas in a Child With Neurofibromatosis Type 1: Case Report and Literature Review. Journal of Pediatric Hematology/Oncology. 43(7). e979–e982.
5.
Fan, Joline M., David A. Solomon, Giselle Y. López, et al.. (2020). Catastrophic stroke burden in a patient with uncontrolled psoriasis and psoriatic arthritis: a case report. BMC Neurology. 20(1). 106–106. 4 indexed citations
6.
Hofmann, Jeffrey W., William W. Seeley, & Eric J. Huang. (2018). RNA Binding Proteins and the Pathogenesis of Frontotemporal Lobar Degeneration. Annual Review of Pathology Mechanisms of Disease. 14(1). 469–495. 29 indexed citations
7.
Ferris, Sean P., Jeffrey W. Hofmann, David A. Solomon, & Arie Perry. (2017). Characterization of gliomas: from morphology to molecules. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 471(2). 257–269. 88 indexed citations
8.
Hofmann, Jeffrey W., Xiaoai Zhao, Marco De Cecco, et al.. (2015). Reduced Expression of MYC Increases Longevity and Enhances Healthspan. Cell. 160(3). 477–488. 203 indexed citations
9.
Hofmann, Jeffrey W., Tony McBryan, Peter D. Adams, & John M. Sedivy. (2014). The effects of aging on the expression of Wnt pathway genes in mouse tissues. AGE. 36(3). 9618–9618. 51 indexed citations
10.
Sedivy, John M., Jill A. Kreiling, Nicola Neretti, et al.. (2013). Death by transposition – the enemy within?. BioEssays. 35(12). 1035–1043. 46 indexed citations
11.
Cinelli, Christina, et al.. (2010). Epidermotropic Merkel cell carcinoma: A case series with histopathologic examination. Journal of the American Academy of Dermatology. 62(3). 463–468. 20 indexed citations
12.
Montooth, Kristi L., et al.. (2009). Comparative Genomics of Drosophila mtDNA: Novel Features of Conservation and Change Across Functional Domains and Lineages. Journal of Molecular Evolution. 69(1). 94–114. 56 indexed citations
13.
Ruckser, Reinhard, Jeffrey W. Hofmann, Karen E. Huber, et al.. (1997). Evaluation of soluble CD44 splice variant v5 in the diagnosis and follow-up in breast cancer patients.. PubMed. 14(4). 264–72. 8 indexed citations
14.
Hofmann, Jeffrey W., et al.. (1991). Androgen sensitivity of the new human breast cancer cell line MFM-223.. PubMed. 51(20). 5722–7. 72 indexed citations
15.
Lösche, Wolfgang, Gianpiero Pescarmona, Jeffrey W. Hofmann, et al.. (1984). Effect of acetylsalicylic acid on glutathione consumption and hexose monophosphate shunt during arachidonic acid induced stimulation of human blood platelets.. PubMed. 43(11). 1325–8. 4 indexed citations
16.
Hofmann, Jeffrey W., Gianpiero Pescarmona, Amalia Bosìa, et al.. (1983). Differences in morphology and protein pattern of human blood platelets during irreversible and diamide mediated reversible aggregation.. PubMed. 42(5). 489–501. 2 indexed citations
17.
Hofmann, Jeffrey W., Amalia Bosìa, Paolo Arese, et al.. (1981). Glucose-6-phosphate dehydrogenase deficiency in human platelets and its effect on platelet aggregation.. PubMed. 40(12). 1707–14. 2 indexed citations
18.
Pescarmona, Gianpiero, Amalia Bosìa, Jeffrey W. Hofmann, et al.. (1981). Effect of arachidonic acid on the hexose monophosphate shunt and related coenzymes in human blood platelets.. PubMed. 40(3). K7–14. 6 indexed citations
19.
Hofmann, Jeffrey W., Wolfgang Lösche, U Till, et al.. (1980). Effect of decreased GSH level on human platelet functions.. PubMed. 8(5). 431–6. 9 indexed citations
20.
Hofmann, Jeffrey W., et al.. (1979). The use of acridine orange for testing blood platelet integrity.. PubMed. 38(8). 1149–57. 1 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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