G.J. Hausman

544 total citations
27 papers, 437 citations indexed

About

G.J. Hausman is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, G.J. Hausman has authored 27 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 8 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in G.J. Hausman's work include Adipose Tissue and Metabolism (17 papers), Birth, Development, and Health (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). G.J. Hausman is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Birth, Development, and Health (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). G.J. Hausman collaborates with scholars based in United States, China and Canada. G.J. Hausman's co-authors include R.L. Richardson, Jeremy Wright, Roy J. Martin, Sylvia P. Poulos, C.R. Barb, Clay A Lents, G. Thomas, D. R. Campion, R. Dean and Dorothy B. Hausman and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Animal Science and animal.

In The Last Decade

G.J. Hausman

27 papers receiving 426 citations

Peers

G.J. Hausman

PHYSI

EPIDE

EDM

PPCH

Alger B. Chapman United States

Lone Møller Pedersen Denmark

Anna Strano Germany

Judith S. Grunstein United States

Wen Lin China

Razan Bakheet Saudi Arabia

Syusaku SUZUKI Japan

Matthew A. Fischer United States

D. Balas France

Erica L. Granger United States

Alger B. Chapman United States

G.J. Hausman

215 ×0.9

PHYSI

259 ×1.7

133 ×1.1

EPIDE

56 ×0.9

EDM

14 ×0.3

PPCH

Citations per year, relative to G.J. Hausman G.J. Hausman (= 1×) peers Alger B. Chapman

Countries citing papers authored by G.J. Hausman

Since Specialization

Citations

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

Fields of papers citing papers by G.J. Hausman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.J. Hausman

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

All Works

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20 of 20 papers shown

Wei, Shengjuan, Linsen Zan, Guei‐Yun Cheng, et al.. (2013). Adenovirus-mediated interference of FABP4 regulates mRNA expression of ADIPOQ, LEP and LEPR in bovine adipocytes. Genetics and Molecular Research. 12(1). 494–505. 23 indexed citations

Dodson, Michael V., Le Luo Guan, Melinda E. Fernyhough, et al.. (2009). Perspectives on the formation of an interdisciplinary research team. Biochemical and Biophysical Research Communications. 391(2). 1155–1157. 11 indexed citations

Barb, C.R. & G.J. Hausman. (2009). Insulin-like growth factor-I feedback regulation of growth hormone and luteinizing hormone secretion in the pig: evidence for a pituitary site of action. animal. 3(6). 844–849. 2 indexed citations

Rhoads, Robert P., Melinda E. Fernyhough, Douglas C. McFarland, et al.. (2009). Extrinsic regulation of domestic animal-derived myogenic satellite cells II. Domestic Animal Endocrinology. 36(3). 111–126. 24 indexed citations

Barb, C.R., G.J. Hausman, & Clay A Lents. (2008). Energy Metabolism and Leptin: Effects on Neuroendocrine Regulation of Reproduction in the Gilt and Sow. Reproduction in Domestic Animals. 43(s2). 324–330. 43 indexed citations

Hausman, G.J. & Sylvia P. Poulos. (2005). A method to establish co-cultures of myotubes and preadipocytes from collagenase digested neonatal pig semitendinosus muscles1. Journal of Animal Science. 83(5). 1010–1016. 30 indexed citations

Hausman, G.J. & Zhi‐Bin Yu. (1998). Influence of thyroxine and hydrocortisone in vivo on porcine preadipocyte recruitment, development and expression of C/EBP binding proteins in fetal stromal vascular (S-V) cell cultures.. PubMed. 62(3). 107–18. 10 indexed citations

Hausman, G.J., Jeremy Wright, & R.L. Richardson. (1996). The influence of extracellular matrix substrata on preadipocyte development in serum-free cultures of stromal-vascular cells.. Journal of Animal Science. 74(9). 2117–2117. 54 indexed citations

Wright, Jeremy & G.J. Hausman. (1993). In vitro differentiation of preadipocytes from hypophysectomized pig fetuses. Journal of Animal Science. 71(6). 1447–1452. 5 indexed citations

10.

Hausman, G.J., Dorothy B. Hausman, & Roy J. Martin. (1992). Biochemical and Cytochemical Studies of Preadipocyte Differentiation in Serum-Free Culture of Porcine Stromal-Vascular Cells: Interaction of Dexamethasone and Growth Hormone. Cells Tissues Organs. 143(4). 322–329. 20 indexed citations

11.

Richardson, R.L., G.J. Hausman, & H. Rex Gaskins. (1992). Effect of Transforming Growth Factor-Beta on Insulin-Like Growth Factor 1- and Dexamethasone-lnduced Proliferation and Differentiation in Primary Cultures of Pig Preadipocytes. Cells Tissues Organs. 145(4). 321–326. 14 indexed citations

12.

Richardson, R.L., et al.. (1992). Expression of transforming growth factor-beta (TGF-beta 1) and insulin-like growth factor II (IGF-II) messenger RNA in the developing subcutaneous tissue (SQ) of the fetal pig.. PubMed. 56(3). 149–57. 9 indexed citations

13.

Richardson, R.L., G.J. Hausman, & H. Rex Gaskins. (1990). Inhibitory effect of transforming growth factor-. beta. (TGF-. beta. ) on insulin-like growth factor 1 (IGF-1)-induced proliferation and differentiation in primary cultures of pig preadipocytes. 1 indexed citations

14.

Hausman, G.J.. (1989). Histochemical Studies of Muscle Development in Decapitated and Hypophysectomized Pig Fetuses: Blood Vessel Development. Journal of Animal Science. 67(5). 1367–1367. 6 indexed citations

15.

Jewell, Dennis E. & G.J. Hausman. (1988). Sera-Controlled Preadipocyte Growth in Culture: An Ontogeny Study with Sera from Lean and Obese Pigs. Journal of Animal Science. 66(9). 2393–2393. 2 indexed citations

16.

Hausman, G.J. & Dennis E. Jewell. (1988). The Effect of Insulin on Primary Cultures of Rat Preadipocytes Grown in Fetal or Postnatal Pig Serum. Journal of Animal Science. 66(12). 3267–3267. 4 indexed citations

17.

Hausman, G.J., et al.. (1988). Metabolic Development of Porcine Fetal Adipose Tissue. Neonatology. 53(3). 171–180. 6 indexed citations

18.

Campion, D. R., et al.. (1987). Metabolic characteristics of skeletal muscle from lean and obese Zucker rats.. PubMed. 51(4). 397–410. 8 indexed citations

19.

Hausman, G.J., Eric Hentges, & G. Thomas. (1987). Differentiation of Adipose Tissue and Muscle in Hypophysectomized Pig Fetuses. Journal of Animal Science. 64(4). 1255–1261. 23 indexed citations

20.

Martin, Roy J., D. R. Campion, G.J. Hausman, & J. H. Gahagan. (1984). Serum hormones and metabolites in fetally decapitated pigs.. PubMed. 48(2). 158–65. 16 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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