Robert G. Spanheimer

1.7k total citations
44 papers, 1.4k citations indexed

About

Robert G. Spanheimer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Robert G. Spanheimer has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Physiology. Recurrent topics in Robert G. Spanheimer's work include Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (9 papers) and Fibroblast Growth Factor Research (5 papers). Robert G. Spanheimer is often cited by papers focused on Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (9 papers) and Fibroblast Growth Factor Research (5 papers). Robert G. Spanheimer collaborates with scholars based in United States, Germany and United Kingdom. Robert G. Spanheimer's co-authors include Guillermo E. Umpierrez, Beverly Peterkofsky, Erland Erdmann, B Charbonnel, Mario Chojkier, Robert S. Bar, Meng H. Tan, Alfonso Pérez, John Dormandy and Robert A. Wilcox and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Robert G. Spanheimer

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert G. Spanheimer United States 22 582 545 214 161 151 44 1.4k
Seong Yeon Kim South Korea 23 335 0.6× 614 1.1× 241 1.1× 100 0.6× 188 1.2× 51 1.4k
Yasuhisa Okuno Japan 21 447 0.8× 310 0.6× 338 1.6× 631 3.9× 260 1.7× 40 1.8k
T Miyata Japan 18 264 0.5× 238 0.4× 173 0.8× 76 0.5× 198 1.3× 33 1.4k
Meiping Guan China 25 348 0.6× 751 1.4× 266 1.2× 136 0.8× 241 1.6× 56 1.6k
Gabriele Togliatto Italy 20 166 0.3× 825 1.5× 235 1.1× 176 1.1× 226 1.5× 30 1.4k
C. Verseyden Netherlands 16 371 0.6× 774 1.4× 329 1.5× 396 2.5× 289 1.9× 19 1.8k
Coleman Gross United States 21 392 0.7× 462 0.8× 132 0.6× 55 0.3× 116 0.8× 32 1.9k
Yan Ling China 21 328 0.6× 518 1.0× 200 0.9× 163 1.0× 104 0.7× 87 1.3k
Yukinori Tamura Japan 21 100 0.2× 415 0.8× 108 0.5× 79 0.5× 232 1.5× 49 1.2k
Emilie Distel France 12 147 0.3× 483 0.9× 257 1.2× 167 1.0× 194 1.3× 15 1.5k

Countries citing papers authored by Robert G. Spanheimer

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Spanheimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Spanheimer. 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 Robert G. Spanheimer. The network helps show where Robert G. Spanheimer may publish in the future.

Co-authorship network of co-authors of Robert G. Spanheimer

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

All Works

20 of 20 papers shown
1.
Bone, Henry G., R. Lindsay, Michael R. McClung, et al.. (2013). Effects of Pioglitazone on Bone in Postmenopausal Women With Impaired Fasting Glucose or Impaired Glucose Tolerance: A Randomized, Double-Blind, Placebo-Controlled Study. The Journal of Clinical Endocrinology & Metabolism. 98(12). 4691–4701. 37 indexed citations
2.
Erdmann, Erland, et al.. (2013). Observational follow‐up of the PROactive study: a 6‐year update. Diabetes Obesity and Metabolism. 16(1). 63–74. 56 indexed citations
3.
Ferrannini, Eleuterio, D. J. Betteridge, John Dormandy, et al.. (2011). High‐density lipoprotein‐cholesterol and not HbA1c was directly related to cardiovascular outcome in PROactive. Diabetes Obesity and Metabolism. 13(8). 759–764. 19 indexed citations
4.
5.
Spanheimer, Robert G., D. J. Betteridge, Meng H. Tan, Ele Ferrannini, & B Charbonnel. (2009). Long-Term Lipid Effects of Pioglitazone by Baseline Anti-Hyperglycemia Medication Therapy and Statin Use from the PROactive Experience (PROactive 14). The American Journal of Cardiology. 104(2). 234–239. 27 indexed citations
6.
Spanheimer, Robert G.. (2001). Reducing cardiovascular risk in diabetes. Postgraduate Medicine. 109(4). 26–36. 14 indexed citations
7.
Lowe, William L., et al.. (1995). Regulation of growth factor mRNA levels in the eyes of diabetic rats. Metabolism. 44(8). 1038–1045. 32 indexed citations
8.
Yorek, Mark A., et al.. (1995). L‐fucose reduces collagen and noncollagen protein production in cultured cerebral microvessel endothelial cells. Journal of Cellular Physiology. 165(3). 658–666. 3 indexed citations
9.
Karpen, C W, et al.. (1992). Tissue-Specific Regulation of Basic Fibroblast Growth Factor mRNA Levels by Diabetes. Diabetes. 41(2). 222–226. 23 indexed citations
10.
11.
Spanheimer, Robert G., et al.. (1991). Collagen Production in Fasted and Food-Restricted Rats: Response to Duration and Severity of Food Deprivation. Journal of Nutrition. 121(4). 518–524. 30 indexed citations
12.
Spanheimer, Robert G.. (1991). Inhibition of Collagen Production by Diabetic Rat Serum: Response to Insulin and Insulin-Like Growth Factor-I Addedin Vitro*. Endocrinology. 129(6). 3018–3026. 15 indexed citations
13.
Sharafuddin, Mel J., et al.. (1991). Phenytoin-Induced Agranulocytosis: A Nonimmunologic Idiosyncratic Reaction?. Acta Haematologica. 86(4). 212–213. 8 indexed citations
14.
Umpierrez, Guillermo E., et al.. (1989). Correction of Altered Collagen Metabolism in Diabetic Animals with Insulin Therapy3. Matrix. 9(4). 336–342. 33 indexed citations
15.
Spanheimer, Robert G.. (1989). Collagen Production in Bone and Cartilage after Short-Term Exposure to Streptozotocin. Matrix. 9(2). 172–174. 19 indexed citations
16.
Umpierrez, Guillermo E., et al.. (1989). Nutritional and hormonal regulation of articular collagen production in diabetic animals. Diabetes. 38(6). 758–763. 7 indexed citations
17.
Spanheimer, Robert G.. (1988). Direct inhibition of collagen production in vitro by diabetic rat serum. Metabolism. 37(5). 479–485. 26 indexed citations
18.
Umpierrez, Guillermo E. & Robert G. Spanheimer. (1988). The use of glucose oxidase reagent strips to determine the metabolic status of diabetic animals.. PubMed. 38(1). 94–6. 9 indexed citations
19.
Chojkier, Mario, Robert G. Spanheimer, & Beverly Peterkofsky. (1983). Specifically decreased collagen biosynthesis in scurvy dissociated from an effect on proline hydroxylation and correlated with body weight loss. In vitro studies in guinea pig calvarial bones.. Journal of Clinical Investigation. 72(3). 826–835. 75 indexed citations
20.
Spanheimer, Robert G., et al.. (1982). Comparison of Insulin Binding to Cells of Fed and Fasted Obese Patients: Results in Erythrocytes and Monocytes*. The Journal of Clinical Endocrinology & Metabolism. 54(1). 40–47. 26 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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