Dan A. Riley

1.1k total citations
11 papers, 578 citations indexed

About

Dan A. Riley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Dan A. Riley has authored 11 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in Dan A. Riley's work include Muscle Physiology and Disorders (4 papers), Nerve injury and regeneration (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Dan A. Riley is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Nerve injury and regeneration (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Dan A. Riley collaborates with scholars based in United States and Bulgaria. Dan A. Riley's co-authors include Margaret T.T. Wong‐Riley, Wesley J. Thompson, Albert J. Berger, Jill M. Ricono, Hanna E. Abboud, Goutam Ghosh Choudhury, Yves Gorin, Karen Block, Mazen Arar and Brent Wagner and has published in prestigious journals such as Nature, Brain Research and Journal of the American Society of Nephrology.

In The Last Decade

Dan A. Riley

11 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan A. Riley United States	10	315	296	82	72	70	11	578
Jiřina Zelená Czechia	12	365 1.2×	302 1.0×	102 1.2×	83 1.2×	81 1.2×	19	692
DJ Wigston United States	14	416 1.3×	234 0.8×	87 1.1×	51 0.7×	53 0.8×	19	600
Ji ina Zelen� Czechia	11	241 0.8×	232 0.8×	104 1.3×	64 0.9×	57 0.8×	12	541
Jon M. Walro United States	18	429 1.4×	383 1.3×	63 0.8×	86 1.2×	73 1.0×	38	801
M. S. Letinsky United States	8	368 1.2×	240 0.8×	141 1.7×	69 1.0×	52 0.7×	11	530
Margaret Titmus United States	10	415 1.3×	287 1.0×	80 1.0×	70 1.0×	19 0.3×	10	580
J Zelená Czechia	18	476 1.5×	432 1.5×	121 1.5×	128 1.8×	136 1.9×	41	912
M.B. Lowrie United Kingdom	15	535 1.7×	307 1.0×	59 0.7×	83 1.2×	43 0.6×	24	825
J. Taxi France	18	567 1.8×	302 1.0×	98 1.2×	140 1.9×	40 0.6×	60	1.1k
H.K.P. Feirabend Netherlands	14	373 1.2×	278 0.9×	33 0.4×	74 1.0×	82 1.2×	25	791

Countries citing papers authored by Dan A. Riley

Since Specialization

Citations

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

Fields of papers citing papers by Dan A. Riley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan A. Riley

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

All Works

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11 of 11 papers shown

1.

Wagner, Brent, Jill M. Ricono, Yves Gorin, et al.. (2007). Mitogenic Signaling via Platelet-Derived Growth Factor β in Metanephric Mesenchymal Cells. Journal of the American Society of Nephrology. 18(11). 2903–2911. 26 indexed citations

2.

Thompson, Wesley J., et al.. (1984). Fibre type composition of single motor units during synapse elimination in neonatal rat soleus muscle. Nature. 309(5970). 709–711. 91 indexed citations

3.

Wong‐Riley, Margaret T.T. & Dan A. Riley. (1983). The effect of impulse blockage on cytochrome oxidase activity in the cat visual system. Brain Research. 261(2). 185–193. 109 indexed citations

4.

Riley, Dan A.. (1981). Ultrastructural evidence for axon retraction during the spontaneous elimination of polyneuronal innervation of the rat soleus muscle. Journal of Neurocytology. 10(3). 425–440. 85 indexed citations

5.

Riley, Dan A. & Albert J. Berger. (1979). A regional histochemical and electromyographic analysis of the cat respiratory diaphragm. Experimental Neurology. 66(3). 636–649. 43 indexed citations

6.

Riley, Dan A.. (1978). Tenotomy delays the postnatal development of the motor innervation of the rat soleus. Brain Research. 143(1). 162–167. 46 indexed citations

7.

Riley, Dan A.. (1977). Spontaneous elimination of nerve terminals from the endplates of developing skeletal myofibers. Brain Research. 134(2). 279–285. 95 indexed citations

8.

Riley, Dan A.. (1977). Multiple innervation of fiber types in the soleus muscles of postnatal rats. Experimental Neurology. 56(2). 400–409. 23 indexed citations

9.

Riley, Dan A.. (1976). Multiple axon branches innervating single endplates of kitten soleus myofibers. Brain Research. 110(1). 158–161. 36 indexed citations

10.

Riley, Dan A.. (1974). Factors affecting the conversion of cross‐reinnervated skeletal muscles. American Journal of Anatomy. 140(4). 609–615. 5 indexed citations

11.

Riley, Dan A.. (1973). Histochemical changes in ATPase activity during regeneration of adult skeletal muscle fibers. Experimental Neurology. 41(3). 690–704. 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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