John A. Beal

813 total citations
36 papers, 643 citations indexed

About

John A. Beal is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, John A. Beal has authored 36 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 13 papers in Developmental Neuroscience and 7 papers in Molecular Biology. Recurrent topics in John A. Beal's work include Neurogenesis and neuroplasticity mechanisms (13 papers), Pain Mechanisms and Treatments (7 papers) and Neuropeptides and Animal Physiology (7 papers). John A. Beal is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (13 papers), Pain Mechanisms and Treatments (7 papers) and Neuropeptides and Animal Physiology (7 papers). John A. Beal collaborates with scholars based in United States. John A. Beal's co-authors include Margaret H. Cooper, David S. Knight, Clement A. Fox, James L. Hall, Salvatore Cicero and Ralph J. Henderson and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Cellular and Molecular Life Sciences.

In The Last Decade

John A. Beal

36 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John A. Beal United States	14	406	331	148	120	63	36	643
Shanta E. Kapadia United States	9	398 1.0×	291 0.9×	145 1.0×	64 0.5×	52 0.8×	15	626
P. Poulat France	16	480 1.2×	279 0.8×	173 1.2×	107 0.9×	34 0.5×	28	813
Seng‐Kee Leong Singapore	14	206 0.5×	214 0.6×	113 0.8×	77 0.6×	182 2.9×	31	591
Z. Seltzer Israel	7	499 1.2×	668 2.0×	135 0.9×	51 0.4×	46 0.7×	15	958
C. Triban Italy	13	262 0.6×	136 0.4×	211 1.4×	93 0.8×	32 0.5×	21	613
D. M. White Australia	17	426 1.0×	523 1.6×	196 1.3×	34 0.3×	21 0.3×	27	759
Regina Wender United States	9	284 0.7×	104 0.3×	145 1.0×	94 0.8×	136 2.2×	9	577
Joseph Pick United States	17	297 0.7×	165 0.5×	253 1.7×	45 0.4×	102 1.6×	25	704
Yueh‐Jan Wang Taiwan	14	221 0.5×	85 0.3×	98 0.7×	86 0.7×	84 1.3×	28	485
Ellyn J. Glazer United States	13	670 1.7×	533 1.6×	256 1.7×	25 0.2×	28 0.4×	17	923

Countries citing papers authored by John A. Beal

Since Specialization

Citations

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

Fields of papers citing papers by John A. Beal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Beal

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

All Works

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20 of 20 papers shown

Beal, John A., et al.. (1997). Quantitative and neurogenic analysis of neurons with supraspinal projections in the superficial dorsal horn of the rat lumbar spinal cord. The Journal of Comparative Neurology. 388(4). 565–574. 35 indexed citations

Beal, John A., et al.. (1997). Quantitative and neurogenic analysis of the total population and subpopulations of neurons defined by axon projection in the superficial dorsal horn of the rat lumbar spinal cord. The Journal of Comparative Neurology. 388(4). 550–564. 39 indexed citations

Beal, John A., et al.. (1994). Neurogenesis of spinothalamic and spinocerebellar tract neurons in the lumbar spinal cord of the rat. Developmental Brain Research. 78(1). 49–56. 8 indexed citations

Knight, David S., et al.. (1993). Spinal neurogenesis and axon projection: A correlative study in the rat. The Journal of Comparative Neurology. 328(2). 252–262. 10 indexed citations

Knight, David S., et al.. (1993). Transitory noradrenergic and peptidergic nerves in the cat kidney. Journal of the Autonomic Nervous System. 45(2). 125–138. 1 indexed citations

Knight, David S., et al.. (1992). A study of catecholamine concentrations in selected renal segments of cats of different ages. Journal of the Autonomic Nervous System. 38(2). 97–104. 1 indexed citations

Knight, David S., Salvatore Cicero, & John A. Beal. (1991). Calcitonin gene‐related peptide‐immunoreactive nerves in the rat kidney. American Journal of Anatomy. 190(1). 31–40. 30 indexed citations

Beal, John A., et al.. (1990). Neurons with asymmetrical dendritic arbors in the substantia gelatinosa of the rat spinal cord. Experimental Brain Research. 83(1). 225–7. 7 indexed citations

Knight, David S., et al.. (1990). Transitory inner medullary nerve terminals in the cat kidney. Neuroscience Letters. 114(2). 173–177. 5 indexed citations

10.

Beal, John A., et al.. (1990). Neurogenic period of ascending tract neurons in the upper lumbar spinal cord of the rat. Experimental Neurology. 107(2). 187–191. 9 indexed citations

11.

Knight, David S., et al.. (1989). Identification of noradrenergic nerve terminals immunoreactive for neuropeptide Y and vasoactive intestinal peptide in the rat kidney. American Journal of Anatomy. 184(3). 190–204. 28 indexed citations

12.

Knight, David S., et al.. (1989). Catecholamine‐containing, dopamine‐beta‐hydroxylase‐immunoreactive perivascular nerve specializations in the rat kidney. The Anatomical Record. 225(1). 77–86. 2 indexed citations

13.

Beal, John A., et al.. (1988). Morphological and developmental characterization of local-circuit neurons in lamina III of the rat spinal cord. Neuroscience Letters. 86(1). 1–5. 6 indexed citations

14.

Beal, John A., et al.. (1988). A simple method for combining HRP-TMB histochemistry with tritiated thymidine autoradiography on the same tissue section. Journal of Neuroscience Methods. 25(2). 159–163. 1 indexed citations

15.

Knight, David S., et al.. (1987). Substance P-immunoreactive nerves in the rat kidney. Journal of the Autonomic Nervous System. 21(2-3). 145–155. 14 indexed citations

16.

Knight, David S., et al.. (1987). Vasoactive intestinal peptide‐immunoreactive nerves in the rat kidney. The Anatomical Record. 219(2). 193–203. 20 indexed citations

17.

Beal, John A., et al.. (1981). Structural diversity of marginal (Lamina l) neurons in the adult monkey (Macaca mulatta) lumbosacral spinal cord: A Golgi study. The Journal of Comparative Neurology. 202(2). 237–254. 47 indexed citations

18.

Beal, John A., et al.. (1981). Star shaped neurons in the substantia gelationsa of the adult cat spinal cord. Neuroscience Letters. 22(1). 37–41. 4 indexed citations

19.

Beal, John A. & Margaret H. Cooper. (1978). The neurons in the gelatinosal complex (laminae II and III) of the monkey (Macaca mulatta): A golgi study. The Journal of Comparative Neurology. 179(1). 89–121. 70 indexed citations

20.

Beal, John A. & Clement A. Fox. (1976). Afferent fibers in the substantia gelatinosa of the adult monkey (Macaca mulatta): A Golgi Study. The Journal of Comparative Neurology. 168(1). 113–143. 35 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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