Samuel Atkinson

1.2k total citations
9 papers, 869 citations indexed

About

Samuel Atkinson is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Samuel Atkinson has authored 9 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Samuel Atkinson's work include Metabolism, Diabetes, and Cancer (4 papers), Muscle metabolism and nutrition (3 papers) and Diet and metabolism studies (2 papers). Samuel Atkinson is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Muscle metabolism and nutrition (3 papers) and Diet and metabolism studies (2 papers). Samuel Atkinson collaborates with scholars based in United States, Canada and United Kingdom. Samuel Atkinson's co-authors include G. Lynis Dohm, Walter J. Pories, C. Elton, Elizabeth A. Bell, Haywood L. Brown, William M. Callaghan, Kenneth J. Moise, Avick G. Mitra, Cynthia J. Berg and Marvin L. Hage and has published in prestigious journals such as Journal of Clinical Investigation, Diabetes and Journal of Applied Physiology.

In The Last Decade

Samuel Atkinson

9 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Atkinson United States	8	293	289	266	236	151	9	869
Richard M. Cowett United States	24	590 2.0×	102 0.4×	173 0.7×	243 1.0×	681 4.5×	80	1.6k
Raoul Desbrière France	15	406 1.4×	65 0.2×	94 0.4×	331 1.4×	150 1.0×	39	870
Steven M. Haffner United States	13	61 0.2×	133 0.5×	218 0.8×	28 0.1×	618 4.1×	16	1.1k
I. F. Casson United Kingdom	14	232 0.8×	158 0.5×	120 0.5×	417 1.8×	589 3.9×	35	1.4k
Tomasz Miazgowski Poland	19	110 0.4×	145 0.5×	241 0.9×	227 1.0×	160 1.1×	71	1.1k
G. Zuliani Italy	12	173 0.6×	57 0.2×	234 0.9×	47 0.2×	51 0.3×	29	862
Michelle Baack United States	18	441 1.5×	154 0.5×	121 0.5×	185 0.8×	33 0.2×	30	1.0k
Lisa M. Neff United States	14	57 0.2×	121 0.4×	255 1.0×	73 0.3×	231 1.5×	39	830
Sheba Jarvis United Kingdom	15	210 0.7×	112 0.4×	116 0.4×	214 0.9×	60 0.4×	29	777
Angélica Lemos Debs Diniz Brazil	14	171 0.6×	55 0.2×	232 0.9×	258 1.1×	106 0.7×	43	816

Countries citing papers authored by Samuel Atkinson

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Atkinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Atkinson

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

All Works

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9 of 9 papers shown

Mezquida, Gisela, George Savulich, Samuel Atkinson, Miquel Bernardo, & Emilio Fernández-Egea. (2018). S69. A CASE STUDY OF CLOZAPINE AND COGNITION: FRIEND OR FOE?. Schizophrenia Bulletin. 44(suppl_1). S351–S351. 1 indexed citations

Berg, Cynthia J., Margaret Harper, Samuel Atkinson, et al.. (2005). Preventability of Pregnancy-Related Deaths. Obstetrics and Gynecology. 106(6). 1228–1234. 335 indexed citations

Shackelford, D. Paul, et al.. (2002). Use of topical recombinant human platelet–derived growth factor BB in abdominal wound separation. American Journal of Obstetrics and Gynecology. 186(4). 701–704. 22 indexed citations

Atkinson, Samuel, et al.. (2001). Focus on Primary Care. Obstetrical & Gynecological Survey. 56(7). 427–432. 11 indexed citations

Kirby, R. Lee, et al.. (1992). Failure of accentuated vertical body movements to induce cardiac-locomotor coupling. Journal of Applied Physiology. 72(4). 1368–1374. 20 indexed citations

Dohm, G. Lynis, C. Elton, Jacqueline Friedman, et al.. (1991). Decreased expression of glucose transporter in muscle from insulin-resistant patients. American Journal of Physiology-Endocrinology and Metabolism. 260(3). E459–E463. 71 indexed citations

Friedman, Jacqueline, G. Lynis Dohm, C. Elton, et al.. (1991). Muscle insulin resistance in uremic humans: glucose transport, glucose transporters, and insulin receptors. American Journal of Physiology-Endocrinology and Metabolism. 261(1). E87–E94. 68 indexed citations

Dohm, G. Lynis, Richard D. DiMarchi, Walter J. Pories, et al.. (1990). IGF-I–Stimulated Glucose Transport in Human Skeletal Muscle and IGF-I Resistance in Obesity and NIDDM. Diabetes. 39(9). 1028–1032. 92 indexed citations

Dohm, G. Lynis, Edward B. Tapscott, Walter J. Pories, et al.. (1988). An in vitro human muscle preparation suitable for metabolic studies. Decreased insulin stimulation of glucose transport in muscle from morbidly obese and diabetic subjects.. Journal of Clinical Investigation. 82(2). 486–494. 249 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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