F. David Newby

650 total citations
9 papers, 534 citations indexed

About

F. David Newby is a scholar working on Physiology, Endocrine and Autonomic Systems and Nephrology. According to data from OpenAlex, F. David Newby has authored 9 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Endocrine and Autonomic Systems and 2 papers in Nephrology. Recurrent topics in F. David Newby's work include Adipose Tissue and Metabolism (6 papers), Regulation of Appetite and Obesity (3 papers) and Dialysis and Renal Disease Management (2 papers). F. David Newby is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Regulation of Appetite and Obesity (3 papers) and Dialysis and Renal Disease Management (2 papers). F. David Newby collaborates with scholars based in United States. F. David Newby's co-authors include Mario DiGirolamo, Jennifer C. Lovejoy, Suzanne S P Gebhart, George Cotsonis, Michael Kutner, S. Russ Price, Simon Thacker, Donald G. Pittman, Mary Dittrich and Carolina Arias and has published in prestigious journals such as Diabetes, The FASEB Journal and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

F. David Newby

9 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. David Newby United States	7	356	188	132	89	66	9	534
G. J. Cooney Australia	7	344 1.0×	241 1.3×	117 0.9×	59 0.7×	84 1.3×	10	588
Tsunekazu Umekawa Japan	15	393 1.1×	132 0.7×	127 1.0×	84 0.9×	93 1.4×	25	600
Manthinda Hettiarachchi Australia	13	306 0.9×	180 1.0×	61 0.5×	72 0.8×	62 0.9×	16	501
Christopher J. de Souza United States	11	331 0.9×	288 1.5×	179 1.4×	84 0.9×	33 0.5×	16	633
Katariina Sivenius Finland	10	302 0.8×	267 1.4×	115 0.9×	34 0.4×	64 1.0×	10	536
Akinori Kogure Japan	14	341 1.0×	128 0.7×	117 0.9×	86 1.0×	69 1.0×	26	589
Anne‐Marie Jaubert France	15	358 1.0×	114 0.6×	227 1.7×	132 1.5×	40 0.6×	17	532
Pilar Yubero Spain	11	471 1.3×	323 1.7×	204 1.5×	49 0.6×	62 0.9×	15	675
T. Umekawa Japan	9	428 1.2×	119 0.6×	137 1.0×	105 1.2×	67 1.0×	15	569
Karen Kresge United States	8	185 0.5×	127 0.7×	124 0.9×	84 0.9×	58 0.9×	9	443

Countries citing papers authored by F. David Newby

Since Specialization

Citations

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

Fields of papers citing papers by F. David Newby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. David Newby. 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 F. David Newby. The network helps show where F. David Newby may publish in the future.

Co-authorship network of co-authors of F. David Newby

This figure shows the co-authorship network connecting the top 25 collaborators of F. David Newby. A scholar is included among the top collaborators of F. David Newby 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 F. David Newby. F. David Newby 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

Block, Geoffrey A., et al.. (2024). A Randomized Trial of the Impact of Ferric Citrate on Erythropoietin and Intravenous Iron Use in Patients Receiving Dialysis. American Journal of Nephrology. 55(5). 520–528. 1 indexed citations

Newby, F. David & S. Russ Price. (1997). Determinants of Protein Turnover in Health and Disease. PubMed. 24(1). 6–12. 10 indexed citations

Lovejoy, Jennifer C., F. David Newby, Suzanne S P Gebhart, & Mario DiGirolamo. (1992). Insulin resistance in obesity is associated with elevated basal lactate levels and diminished lactate appearance following intravenous glucose and insulin. Metabolism. 41(1). 22–27. 154 indexed citations

DiGirolamo, Mario, F. David Newby, & Jennifer C. Lovejoy. (1992). Lactate production in adipose tissue; a regulated function with extra‐adipose implications. The FASEB Journal. 6(7). 2405–2412. 230 indexed citations

Pittman, Donald G., et al.. (1991). Altered aminoglycoside volume of distribution in patients with acquired immunodeficiency syndrome.. PubMed. 10(10). 784–6. 4 indexed citations

Newby, F. David, et al.. (1990). Adipocyte lactate production remains elevated during refeeding after fasting. American Journal of Physiology-Endocrinology and Metabolism. 259(6). E865–E871. 16 indexed citations

Newby, F. David, Mario DiGirolamo, George Cotsonis, & Michael Kutner. (1990). Model of spontaneous obesity in aging male Wistar rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 259(6). R1117–R1125. 56 indexed citations

Newby, F. David, et al.. (1989). Effects of Streptozocin-Induced Diabetes on Glucose Metabolism and Lactate Release by Isolated Fat Cells From Young Lean and Older, Moderately Obese Rats. Diabetes. 38(2). 237–243. 21 indexed citations

Newby, F. David, et al.. (1988). Regional differences in adipocyte lactate production from glucose. American Journal of Physiology-Endocrinology and Metabolism. 255(5). E716–E722. 42 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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