J. Fogh

5.8k total citations · 2 hit papers
80 papers, 4.5k citations indexed

About

J. Fogh is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, J. Fogh has authored 80 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Physiology and 17 papers in Epidemiology. Recurrent topics in J. Fogh's work include Lysosomal Storage Disorders Research (23 papers), Microbial infections and disease research (12 papers) and Trypanosoma species research and implications (9 papers). J. Fogh is often cited by papers focused on Lysosomal Storage Disorders Research (23 papers), Microbial infections and disease research (12 papers) and Trypanosoma species research and implications (9 papers). J. Fogh collaborates with scholars based in United States, Germany and Denmark. J. Fogh's co-authors include Jørgen Fogh, Thomas Orfeo, H. Fogh, Nicholas C. Dracopoli, Cathleen R. Carlin, Daniela Simón, George Banting, Ivan Damjanov, Peter W. Andrews and T Andersen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

J. Fogh

79 papers receiving 4.1k citations

Hit Papers

One Hundred and Twenty-Seven Cultured Human Tumor Cell Li... 1977 2026 1993 2009 1977 1984 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Fogh United States 30 2.1k 817 787 583 537 80 4.5k
George S. Johnson United States 32 2.9k 1.4× 784 1.0× 415 0.5× 615 1.1× 361 0.7× 71 4.7k
Keiya Tada Japan 30 2.5k 1.2× 422 0.5× 568 0.7× 348 0.6× 399 0.7× 186 5.3k
Bruce E. Magun United States 42 3.0k 1.5× 899 1.1× 451 0.6× 353 0.6× 280 0.5× 113 5.4k
Albert L. Jones United States 43 2.2k 1.0× 1.1k 1.4× 625 0.8× 406 0.7× 906 1.7× 119 6.3k
Noor Kalsheker United Kingdom 34 2.0k 1.0× 528 0.6× 833 1.1× 662 1.1× 283 0.5× 114 5.1k
Yukio Fujisawa Japan 29 1.7k 0.8× 980 1.2× 587 0.7× 246 0.4× 775 1.4× 69 3.7k
Clay Winterford Australia 24 2.1k 1.0× 894 1.1× 446 0.6× 270 0.5× 784 1.5× 44 4.3k
Y C Pan United States 28 2.2k 1.1× 634 0.8× 327 0.4× 324 0.6× 484 0.9× 44 4.7k
Rajendra Raghow United States 44 3.3k 1.6× 536 0.7× 617 0.8× 607 1.0× 811 1.5× 128 6.6k
Christian Laboisse France 39 2.2k 1.0× 1.1k 1.4× 415 0.5× 522 0.9× 318 0.6× 129 4.9k

Countries citing papers authored by J. Fogh

Since Specialization
Citations

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

Fields of papers citing papers by J. Fogh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Fogh

This figure shows the co-authorship network connecting the top 25 collaborators of J. Fogh. A scholar is included among the top collaborators of J. Fogh 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 J. Fogh. J. Fogh 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
1.
2.
Beck, Michael, J. E. Wraith, J Zeman, et al.. (2013). Natural history of alpha mannosidosis a longitudinal study. Orphanet Journal of Rare Diseases. 8(1). 88–88. 44 indexed citations
3.
Matthes, Frank, Stijn Stroobants, Claudia Wohlenberg, et al.. (2012). Efficacy of enzyme replacement therapy in an aggravated mouse model of metachromatic leukodystrophy declines with age. Human Molecular Genetics. 21(11). 2599–2609. 40 indexed citations
4.
Matzner, Ulrich, Renate Lüllmann‐Rauch, Stijn Stroobants, et al.. (2009). Enzyme Replacement Improves Ataxic Gait and Central Nervous System Histopathology in a Mouse Model of Metachromatic Leukodystrophy. Molecular Therapy. 17(4). 600–606. 56 indexed citations
5.
Matzner, Ulrich, et al.. (2008). Non-inhibitory antibodies impede lysosomal storage reduction during enzyme replacement therapy of a lysosomal storage disease. Journal of Molecular Medicine. 86(4). 433–442. 30 indexed citations
6.
Matzner, Ulrich, Frank Matthes, Renate Lüllmann‐Rauch, et al.. (2007). Induction of Tolerance to Human Arylsulfatase A in a Mouse Model of Metachromatic Leukodystrophy. Molecular Medicine. 13(9-10). 471–479. 19 indexed citations
7.
Andersen, T & J. Fogh. (2001). Weight loss and delayed gastric emptying following a South American herbal preparation in overweight patients. Journal of Human Nutrition and Dietetics. 14(3). 243–250. 138 indexed citations
8.
Sölétormos, György, J. Fogh, Mogens Spang‐Thomsen, et al.. (1997). Carcino-embryonic antigen in monitoring the growth of human colon adenocarcinoma tumour cells SK-CO-1 and HT-29 Iin vitro and in nude mice. European Journal of Cancer. 33(1). 108–114. 3 indexed citations
9.
Nilsson, Povl, Jacques Jami, Dietmar Weilguny, et al.. (1994). The potential immunogenicity of human insulin and insulin analogues evaluated in a transgenic mouse model. Diabetologia. 37(12). 1178–1185. 75 indexed citations
10.
Oesch, Bruno, et al.. (1994). Properties of the Scrapie Prion Protein: Quantitative Analysis of Protease Resistance. Biochemistry. 33(19). 5926–5931. 29 indexed citations
11.
Heckl, Wolfgang M. & J. Fogh. (1986). Human Lactic Dehydrogenase as a Marker for Monitoring the Growth of Prostatic Carcinoma in Nude Mice. Pathobiology. 54(1). 34–39. 1 indexed citations
12.
Fasano, Ottavio, et al.. (1984). New human transforming genes detected by a tumorigenicity assay.. Molecular and Cellular Biology. 4(9). 1695–1705. 180 indexed citations
13.
Dunzendorfer, U., et al.. (1984). Some effects of inhibitors of polyamine synthesis on experimental prostatic cancer.. PubMed. 34(1). 36–9. 5 indexed citations
14.
Fogh, J., et al.. (1982). Cultured human tumor cells for cancer research: assessment of variation and stability of cultural characteristics.. PubMed. 89. 191–223. 8 indexed citations
15.
Fogh, J., et al.. (1981). Characterization of cultured human tumor cell lines by flow cytometry DNA stemline.. PubMed. 3(1). 67–72. 3 indexed citations
16.
Fogh, J., et al.. (1981). Tumor production in the nude mouse, fibrinolytic activity and cross-reactivity with antimelanoma sera of various human tumor cell lines. Journal of Cancer Research and Clinical Oncology. 102(2). 141–152. 12 indexed citations
17.
Si, Hajdu, et al.. (1974). Papanicolaou smear of cultured human tumor cells.. PubMed. 18(4). 327–32. 18 indexed citations
18.
Fogh, J. & H. Fogh. (1967). Morphological and Quantitative Aspects of Mycoplasma-Human Cell Relationships.. Experimental Biology and Medicine. 125(2). 423–430. 18 indexed citations
19.
Fogh, J. & Carolin Hacker. (1960). Elimination of pleuropneumonia-like organisms from cell cultures. Experimental Cell Research. 21(1). 242–244. 24 indexed citations
20.
Fogh, J.. (1955). Ultraviolet Light Inactivation of Poliomyelitis Virus.. Experimental Biology and Medicine. 89(3). 464–465. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026