B A Fuchs

947 total citations
18 papers, 729 citations indexed

About

B A Fuchs is a scholar working on Cellular and Molecular Neuroscience, Immunology and Molecular Biology. According to data from OpenAlex, B A Fuchs has authored 18 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in B A Fuchs's work include Neuropeptides and Animal Physiology (7 papers), Stress Responses and Cortisol (5 papers) and Immunotoxicology and immune responses (4 papers). B A Fuchs is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Stress Responses and Cortisol (5 papers) and Immunotoxicology and immune responses (4 papers). B A Fuchs collaborates with scholars based in United States and Czechia. B A Fuchs's co-authors include Stephen B. Pruett, Ross A. Baker, Nancy E. Street, Deborah J. Kasprowicz, V M Sanders, Albert E. Munson, Yang Han, J. A. McCay, R. D. Brown and L A Burns and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

B A Fuchs

18 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B A Fuchs United States	11	254	214	206	144	138	18	729
Christine Börner Germany	21	548 2.2×	183 0.9×	393 1.9×	40 0.3×	241 1.7×	24	1.1k
Won Suk Lee South Korea	14	112 0.4×	71 0.3×	170 0.8×	34 0.2×	114 0.8×	24	706
E. Sehic United States	15	128 0.5×	343 1.6×	163 0.8×	113 0.8×	24 0.2×	21	867
Lilian Basso France	19	243 1.0×	187 0.9×	290 1.4×	68 0.5×	87 0.6×	33	1.1k
Seddigheh Razani‐Boroujerdi United States	18	157 0.6×	173 0.8×	491 2.4×	25 0.2×	65 0.5×	27	1.1k
Swalpa Udit United States	8	153 0.6×	56 0.3×	321 1.6×	45 0.3×	87 0.6×	8	876
Lin G. LeMay United States	8	39 0.2×	356 1.7×	146 0.7×	233 1.6×	46 0.3×	10	803
Albert O. Davies United States	13	177 0.7×	51 0.2×	294 1.4×	115 0.8×	52 0.4×	23	815
Keren Shakhar Israel	12	283 1.1×	281 1.3×	98 0.5×	112 0.8×	825 6.0×	14	1.3k
Salim A. Kanaan Lebanon	15	173 0.7×	75 0.4×	101 0.5×	58 0.4×	27 0.2×	19	589

Countries citing papers authored by B A Fuchs

Since Specialization

Citations

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

Fields of papers citing papers by B A Fuchs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B A Fuchs. 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 B A Fuchs. The network helps show where B A Fuchs may publish in the future.

Co-authorship network of co-authors of B A Fuchs

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

All Works

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18 of 18 papers shown

Diggins, Kirsten E., Alice Wiedeman, Gerald T. Nepom, et al.. (2024). Interconnected lineage trajectories link conventional and natural killer (NK)-like exhausted CD8+ T cells beneficial in type 1 diabetes. Communications Biology. 7(1). 773–773. 3 indexed citations

Baessler, Andrew, et al.. (2023). Tet2 deletion in CD4+ T cells disrupts Th1 lineage commitment in memory cells and enhances T follicular helper cell recall responses to viral rechallenge. Proceedings of the National Academy of Sciences. 120(36). e2218324120–e2218324120. 8 indexed citations

Sanders, V M, et al.. (1997). Differential expression of the beta2-adrenergic receptor by Th1 and Th2 clones: implications for cytokine production and B cell help. The Journal of Immunology. 158(9). 4200–4210. 331 indexed citations

Fuchs, B A, et al.. (1996). The mini-med school. Academic Medicine. 71(2). 162–3. 2 indexed citations

Burns, L A, S. G. Bradley, Kimber L. White, et al.. (1994). Immunotoxicity of Nitrobenzene in Female B6C3F1 Mice. Drug and Chemical Toxicology. 17(3). 271–315. 7 indexed citations

Fuchs, B A, et al.. (1994). A mechanism of action for morphine-induced immunosuppression: corticosterone mediates morphine-induced suppression of natural killer cell activity.. Journal of Pharmacology and Experimental Therapeutics. 270(3). 1127–1133. 104 indexed citations

Burns, L A, T. L. B. Spriggs, B A Fuchs, & Albert E. Munson. (1994). Gallium arsenide-induced increase in serum corticosterone is not responsible for suppression of the IgM antibody response.. Journal of Pharmacology and Experimental Therapeutics. 268(2). 740–746. 11 indexed citations

Burns, L A, Kimber L. White, J. A. McCay, et al.. (1994). Immunotoxicity of Mono-Nitrotoluenes in Female B6C3F1 Mice: II. Meta-Nitrotoluene. Drug and Chemical Toxicology. 17(3). 359–399. 3 indexed citations

MASUDA, Arata, Gregory F. Burton, B A Fuchs, et al.. (1994). Follicular dendritic cell function and murine AIDS.. PubMed. 81(1). 41–6. 11 indexed citations

10.

Burns, L A, S. G. Bradley, J. A. McCay, et al.. (1994). Immunotoxicity of Mono-Nitrotoluenes in Female B6C3F1 Mice: I. Para-Nitrotoluene. Drug and Chemical Toxicology. 17(3). 317–358. 16 indexed citations

11.

Bradley, S. G., Kimber L. White, J. A. McCay, et al.. (1994). Immunotoxicity of 2,4-Diaminotoluene in Female B6C3F1 Mice. Drug and Chemical Toxicology. 17(3). 401–436. 8 indexed citations

12.

Fuchs, B A & Stephen B. Pruett. (1993). Morphine induces apoptosis in murine thymocytes in vivo but not in vitro: involvement of both opiate and glucocorticoid receptors.. Journal of Pharmacology and Experimental Therapeutics. 266(1). 417–423. 87 indexed citations

13.

Fuchs, B A, et al.. (1993). Morphine-induced alterations in thymocyte subpopulations of B6C3F1 mice.. Journal of Pharmacology and Experimental Therapeutics. 265(1). 81–88. 34 indexed citations

14.

Brown, R. D., et al.. (1993). Hepatic and splenic phagocytosis in female B6C3F1 mice implanted with morphine sulfate pellets.. Journal of Pharmacology and Experimental Therapeutics. 267(1). 357–363. 13 indexed citations

15.

Pruett, Stephen B., et al.. (1992). Assessment of cholinergic influences on a primary humoral immune response.. PubMed. 77(3). 428–35. 18 indexed citations

16.

Pruett, Stephen B., Yang Han, & B A Fuchs. (1992). Morphine suppresses primary humoral immune responses by a predominantly indirect mechanism.. Journal of Pharmacology and Experimental Therapeutics. 262(3). 923–928. 51 indexed citations

17.

Bleavins, M. R., Felix A. de la Iglesia, Albert E. Munson, et al.. (1991). Effects of CI-949, a novel antiallergy agent, on immune function of male Fischer 344 rats.. Journal of Pharmacology and Experimental Therapeutics. 257(1). 316–322. 3 indexed citations

18.

Fuchs, B A, et al.. (1989). Antitumor activity of enkephalin analogues in inhibiting PYB6 tumor growth in mice and immunological effects of methionine enkephalinamide. International Journal of Immunopharmacology. 11(5). 487–500. 19 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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