Garner T. Haupert

597 total citations
18 papers, 417 citations indexed

About

Garner T. Haupert is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Garner T. Haupert has authored 18 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Garner T. Haupert's work include Ion Transport and Channel Regulation (4 papers), Ion channel regulation and function (3 papers) and Neuropeptides and Animal Physiology (3 papers). Garner T. Haupert is often cited by papers focused on Ion Transport and Channel Regulation (4 papers), Ion channel regulation and function (3 papers) and Neuropeptides and Animal Physiology (3 papers). Garner T. Haupert collaborates with scholars based in United States, Switzerland and Russia. Garner T. Haupert's co-authors include Nina Berova, Koji Nakanishi, Akira Kawamura, Sheila G. Magil, Charles D. Bell, Rex T. Gallagher, Yasuhiro Itagaki, Yi Wang, Jinsong Guo and Ning Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Immunology.

In The Last Decade

Garner T. Haupert

18 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Garner T. Haupert United States	8	273	97	56	51	43	18	417
F D Assimacopoulos-Jeannet United States	6	317 1.2×	65 0.7×	28 0.5×	95 1.9×	114 2.7×	6	520
Raymond Mengual France	12	513 1.9×	199 2.1×	56 1.0×	76 1.5×	94 2.2×	17	695
René‐Alexandre Podevin France	13	339 1.2×	20 0.2×	54 1.0×	80 1.6×	77 1.8×	14	432
R.A. Podevin France	15	392 1.4×	32 0.3×	34 0.6×	166 3.3×	68 1.6×	23	608
Karen Sooy United Kingdom	13	192 0.7×	189 1.9×	18 0.3×	45 0.9×	85 2.0×	19	608
Sandra L. Cockerham United States	10	188 0.7×	61 0.6×	46 0.8×	210 4.1×	83 1.9×	25	521
Gloria Padoani Italy	12	223 0.8×	94 1.0×	29 0.5×	78 1.5×	64 1.5×	22	474
B. J. Parsons United Kingdom	12	200 0.7×	60 0.6×	30 0.5×	65 1.3×	103 2.4×	22	428
Hisanori Hazama Japan	15	330 1.2×	92 0.9×	47 0.8×	119 2.3×	126 2.9×	23	637
Sutherland Ew United States	5	283 1.0×	69 0.7×	27 0.5×	120 2.4×	105 2.4×	7	544

Countries citing papers authored by Garner T. Haupert

Since Specialization

Citations

This map shows the geographic impact of Garner T. Haupert'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 Garner T. Haupert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garner T. Haupert more than expected).

Fields of papers citing papers by Garner T. Haupert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garner T. Haupert. 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 Garner T. Haupert. The network helps show where Garner T. Haupert may publish in the future.

Co-authorship network of co-authors of Garner T. Haupert

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

All Works

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18 of 18 papers shown

1.

Cheng, Xingxing S., et al.. (2014). The Root of This Evil: Microangiopathic Hemolytic Anemia and Renal Failure. The American Journal of Medicine. 128(1). 21–23. 1 indexed citations

2.

Rabito, C, et al.. (2010). Measurement of glomerular filtration rate in anesthetized and conscious rhesus monkeys (Macaca mulatta). American Journal of Veterinary Research. 71(12). 1492–1499. 5 indexed citations

3.

Stricker‐Krongrad, Alain, et al.. (2009). Fast, effortless, and accurate measurement of glomerular filtration rate in conscious monkeys. Journal of Pharmacological and Toxicological Methods. 60(2). 212–212. 1 indexed citations

4.

Haupert, Garner T., et al.. (2007). Scarce Among Men. The American Journal of Medicine. 120(2). 136–139. 1 indexed citations

5.

Murrell, Julie, Jeffrey Randall, Ji-liang Zhao, et al.. (2005). Endogenous Ouabain. Circulation. 112(9). 1301–1308. 55 indexed citations

6.

Parhami-Seren, Behnaz, et al.. (2002). Ouabain-Binding Protein(s) From Human Plasma. Hypertension. 40(2). 220–228. 11 indexed citations

7.

Kawamura, Akira, Leif Abrell, Nina Berova, et al.. (2001). Biological Implication of Conformational Flexibility in Ouabain: Observations with Two Ouabain Phosphate Isomers. Biochemistry. 40(19). 5835–5844. 23 indexed citations

8.

Parhami-Seren, Behnaz, Charles D. Bell, Michael N. Margolies, & Garner T. Haupert. (1999). Monoclonal Antibodies That Distinguish Between Two Related Digitalis Glycosides, Ouabain and Digoxin. The Journal of Immunology. 163(8). 4360–4366. 6 indexed citations

9.

Kawamura, Akira, Jinsong Guo, Yasuhiro Itagaki, et al.. (1999). On the structure of endogenous ouabain. Proceedings of the National Academy of Sciences. 96(12). 6654–6659. 159 indexed citations

10.

Zhao, Ning, Jinsong Guo, Lee‐Chiang Lo, et al.. (1997). Nanogram-scale derivatization of hydroxy groups for highly sensitive HPLC/MS/CD detection. Chemical Communications. 43–44. 4 indexed citations

11.

Nakanishi, Koji, Nina Berova, Lee‐Chiang Lo, et al.. (1996). Search for an Endogenous Mammalian Cardiotonic Factor. Advances in experimental medicine and biology. 404. 219–224. 2 indexed citations

12.

Zhao, Ning, Lee‐Chiang Lo, Nina Berova, et al.. (1995). Na,K-ATPase Inhibitors from Bovine Hypothalamus and Human Plasma Are Different from Ouabain: Nanogram Scale CD Structural Analysis. Biochemistry. 34(31). 9893–9896. 96 indexed citations

13.

Anner, Béatrice M. & Garner T. Haupert. (1993). Use of Two-Sided Bifunctional Liposomes in the Study of a Hypothalamic Na,K-ATPase Inhibitor. Journal of Cardiovascular Pharmacology. 22(Supplement 2). S51–S53. 7 indexed citations

14.

Janssens, Stefan, et al.. (1993). Hypothalamic Na+, K+-ATPase Inhibitor Constricts Pulmonary Arteries of Spontaneously Hypertensive Rats. Journal of Cardiovascular Pharmacology. 22(Supplement 2). S42–S46. 14 indexed citations

15.

Haupert, Garner T.. (1988). Circulating Inhibitors of Sodium Transport at the Prehypertensive Stage of Essential Hypertension. Journal of Cardiovascular Pharmacology. 12(3). S70–76. 2 indexed citations

16.

Haupert, Garner T., et al.. (1986). Hypothalamic Factor Regulates Sodium Pump Activity in Cultured Renal Tubular Epithelial Cells. Annals of the New York Academy of Sciences. 488(1 Membrane Path). 540–542. 1 indexed citations

17.

Haupert, Garner T., et al.. (1986). Hypothalamic Factor Regulates Sodium Pump Activity in Cultured Renal Tubular Epithelial Cells. Annals of the New York Academy of Sciences. 488(1 Membrane Path). 540–542. 3 indexed citations

18.

Collins, A. Bernard, Atul K. Bhan, Jules L. Dienstag, et al.. (1983). Hepatitis B immune complex glomerulonephritis: Simultaneous glomerular deposition of hepatitis B surface and e antigens. Clinical Immunology and Immunopathology. 26(1). 137–153. 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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