Peter V. Hauschka

13.4k total citations · 6 hit papers
102 papers, 10.9k citations indexed

About

Peter V. Hauschka is a scholar working on Molecular Biology, Oncology and Nutrition and Dietetics. According to data from OpenAlex, Peter V. Hauschka has authored 102 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 25 papers in Oncology and 21 papers in Nutrition and Dietetics. Recurrent topics in Peter V. Hauschka's work include Vitamin K Research Studies (20 papers), Bone health and treatments (19 papers) and Bone Metabolism and Diseases (19 papers). Peter V. Hauschka is often cited by papers focused on Vitamin K Research Studies (20 papers), Bone health and treatments (19 papers) and Bone Metabolism and Diseases (19 papers). Peter V. Hauschka collaborates with scholars based in United States, Canada and United Kingdom. Peter V. Hauschka's co-authors include Jane B. Lian, Paul M. Gallop, Caren M. Gundberg, David E.C. Cole, T. Kuber Sampath, Steven A. Carr, Frederic H. Fahey, Michael Klagsbrun, Mark D. Iafrati and Valentina Nardi and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter V. Hauschka

101 papers receiving 10.5k citations

Hit Papers

Osteocalcin and matrix Gla protein: vitamin K-dependent p... 1975 2026 1992 2009 1989 2009 1986 1975 1992 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Osteocalcin and matrix Gla protein: vitamin K-dependent proteins in bone
    1989 1.0k citations Peter V. Hauschka, Jane B. Lian et al. profile →
  2. Bone-marrow adipocytes as negative regulators of the haematopoietic microenvironment
    2009 831 citations Olaia Naveiras, Valentina Nardi et al. Nature profile →
  3. Growth factors in bone matrix. Isolation of multiple types by affinity chromatography on heparin-Sepharose.
    1986 719 citations Peter V. Hauschka et al. profile →
  4. Direct identification of the calcium-binding amino acid, gamma-carboxyglutamate, in mineralized tissue.
    1975 602 citations Peter V. Hauschka, Jane B. Lian et al. profile →
  5. Recombinant human osteogenic protein-1 (hOP-1) induces new bone formation in vivo with a specific activity comparable with natural bovine osteogenic protein and stimulates osteoblast proliferation and differentiation in vitro.
    1992 588 citations T. Kuber Sampath, Peter V. Hauschka et al. profile →
  6. Nucleation and inhibition of hydroxyapatite formation by mineralized tissue proteins
    1996 512 citations Peter V. Hauschka et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter V. Hauschka United States 52 4.4k 1.9k 1.9k 1.5k 1.3k 102 10.9k
Louis V. Avioli United States 59 4.5k 1.0× 1.2k 0.6× 2.7k 1.4× 798 0.5× 3.2k 2.5× 273 12.6k
Paul A. Price United States 78 6.7k 1.5× 2.3k 1.2× 3.3k 1.8× 895 0.6× 1.9k 1.5× 205 16.8k
Norio Amizuka Japan 51 5.7k 1.3× 1.8k 0.9× 3.5k 1.8× 799 0.5× 1.7k 1.3× 264 10.7k
Caren M. Gundberg United States 65 3.3k 0.8× 1.4k 0.7× 2.3k 1.2× 863 0.6× 3.6k 2.8× 149 12.1k
Stephen M. Krane United States 73 4.7k 1.1× 3.4k 1.8× 3.4k 1.8× 649 0.4× 1.2k 0.9× 190 15.4k
H. Kalervo Väänänen Finland 58 6.5k 1.5× 1.4k 0.7× 4.3k 2.3× 751 0.5× 3.0k 2.3× 188 11.4k
Toshio Matsumoto Japan 65 6.2k 1.4× 1.0k 0.5× 4.0k 2.2× 999 0.7× 2.9k 2.2× 399 15.5k
Thomas L. Clemens United States 68 6.8k 1.6× 1.4k 0.7× 3.2k 1.7× 1.0k 0.7× 2.8k 2.1× 157 15.3k
Harry C. Blair United States 49 5.3k 1.2× 960 0.5× 2.8k 1.5× 702 0.5× 1.6k 1.3× 181 9.4k
Marc D. Grynpas Canada 62 2.7k 0.6× 2.5k 1.3× 1.4k 0.8× 3.0k 2.0× 2.5k 1.9× 274 12.1k

Countries citing papers authored by Peter V. Hauschka

Since Specialization
Citations

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

Fields of papers citing papers by Peter V. Hauschka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter V. Hauschka. 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 Peter V. Hauschka. The network helps show where Peter V. Hauschka may publish in the future.

Co-authorship network of co-authors of Peter V. Hauschka

This figure shows the co-authorship network connecting the top 25 collaborators of Peter V. Hauschka. A scholar is included among the top collaborators of Peter V. Hauschka 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 Peter V. Hauschka. Peter V. Hauschka 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.
Vathipadiekal, Vinod, D.M. Saxena, Samuel C. Mok, et al.. (2012). Identification of a Potential Ovarian Cancer Stem Cell Gene Expression Profile from Advanced Stage Papillary Serous Ovarian Cancer. PLoS ONE. 7(1). e29079–e29079. 89 indexed citations
2.
Cai, Xiaoxiao, Yunfeng Lin, Peter V. Hauschka, & Brian E. Grottkau. (2011). Adipose stem cells originate from perivascular cells. Biology of the Cell. 103(9). 435–447. 79 indexed citations
3.
Zhang, Zhiyuan, Hao Wang, Sadakatsu Ikeda, et al.. (2010). Notch3 in Human Breast Cancer Cell Lines Regulates Osteoblast-Cancer Cell Interactions and Osteolytic Bone Metastasis. American Journal Of Pathology. 177(3). 1459–1469. 52 indexed citations
4.
Naveiras, Olaia, Valentina Nardi, Pamela L. Wenzel, et al.. (2009). Bone-marrow adipocytes as negative regulators of the haematopoietic microenvironment. Nature. 460(7252). 259–263. 831 indexed citations breakdown →
5.
Patntirapong, Somying, Pamela Habibović, & Peter V. Hauschka. (2008). Effects of soluble cobalt and cobalt incorporated into calcium phosphate layers on osteoclast differentiation and activation. Biomaterials. 30(4). 548–555. 90 indexed citations
6.
Kozloff, Kenneth M., Luisa Quinti, Somying Patntirapong, et al.. (2008). Non-invasive optical detection of cathepsin K-mediated fluorescence reveals osteoclast activity in vitro and in vivo. Bone. 44(2). 190–198. 62 indexed citations
7.
MacDonald, Bryan T., Danese M. Joiner, Parul Sharma, et al.. (2007). Bone mass is inversely proportional to Dkk1 levels in mice. Bone. 41(3). 331–339. 135 indexed citations
8.
Danciu, Theodora, Rosalyn M. Adam, Keiji Naruse, Michael R. Freeman, & Peter V. Hauschka. (2003). Calcium regulates the PI3K‐Akt pathway in stretched osteoblasts. FEBS Letters. 536(1-3). 193–197. 166 indexed citations
9.
Wang, Mark L., Peter V. Hauschka, Rocky S. Tuan, & Marla J. Steinbeck. (2002). Exposure to particles stimulates superoxide production by human THP-1 macrophages and avian HD-11EM osteoclasts activated by tumor necrosis factor-α and PMA. The Journal of Arthroplasty. 17(3). 335–346. 41 indexed citations
10.
Chen, Lin, Rivka Adar, Xiao Yang, et al.. (1999). Gly369Cys mutation in mouse FGFR3 causes achondroplasia by affecting both chondrogenesis and osteogenesis. Journal of Clinical Investigation. 104(11). 1517–1525. 202 indexed citations
11.
Nagy, László, et al.. (1996). Role of cysteine proteases and protease inhibitors in gastric mucosal damage induced by ethanol or ammonia in the rat.. Journal of Clinical Investigation. 98(4). 1047–1054. 13 indexed citations
12.
Asahina, Izumi, T. Kuber Sampath, & Peter V. Hauschka. (1996). Human Osteogenic Protein-1 Induces Chondroblastic, Osteoblastic, and/or Adipocytic Differentiation of Clonal Murine Target Cells. Experimental Cell Research. 222(1). 38–47. 203 indexed citations
13.
Atkinson, Roger, James S. Evans, Peter V. Hauschka, et al.. (1995). Conformational Studies of Osteocalcin in Solution. European Journal of Biochemistry. 232(2). 515–521. 29 indexed citations
14.
15.
Damoulis, Petros D. & Peter V. Hauschka. (1994). Cytokines Induce Nitric Oxide Production in Mouse Osteoblasts. Biochemical and Biophysical Research Communications. 201(2). 924–931. 86 indexed citations
16.
Taichman, Russell S. & Peter V. Hauschka. (1992). Effects of interleukin-1? and tumor necrosis factor-? on osteoblastic expression of osteocalcin and mineralized extracellular matrix in vitro. Inflammation. 16(6). 587–601. 88 indexed citations
17.
Virdi, Amarjit S., Anthony C. Willis, Peter V. Hauschka, & James T. Triffitt. (1991). Primary aminoacid sequence of rabbit osteocalcin. Biochemical Society Transactions. 19(4). 373S–373S. 7 indexed citations
18.
Hauschka, Peter V. & Frank H. Wians. (1989). Osteocalcin‐hydroxyapatite interaction in the extracellular organic matrix of bone. The Anatomical Record. 224(2). 180–188. 181 indexed citations
19.
Hauschka, Peter V., et al.. (1986). Vitamin K-Dependent Processes in Tumor Cells. Pathophysiology of Haemostasis and Thrombosis. 16(3-4). 273–287. 8 indexed citations
20.
Gundberg, Caren M., Peter V. Hauschka, Jane B. Lian, & Paul M. Gallop. (1984). Osteocalcin: Isolation, characterization, and detection. Methods in enzymology on CD-ROM/Methods in enzymology. 107. 516–544. 306 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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