Daniel Keppler

1.1k total citations
21 papers, 959 citations indexed

About

Daniel Keppler is a scholar working on Cancer Research, Molecular Biology and Cell Biology. According to data from OpenAlex, Daniel Keppler has authored 21 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 11 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Daniel Keppler's work include Protease and Inhibitor Mechanisms (12 papers), Retinal Diseases and Treatments (4 papers) and Cell Adhesion Molecules Research (3 papers). Daniel Keppler is often cited by papers focused on Protease and Inhibitor Mechanisms (12 papers), Retinal Diseases and Treatments (4 papers) and Cell Adhesion Molecules Research (3 papers). Daniel Keppler collaborates with scholars based in United States, Sweden and Chile. Daniel Keppler's co-authors include Bonnie F. Sloane, Mansoureh Sameni, Bruce E. Linebaugh, Bernard Sordat, Magnus Abrahamson, Nancy A. Day, Jun Zhang, Ravi Shridhar, Song Jin and Anuradha Waghray and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Oncogene.

In The Last Decade

Daniel Keppler

21 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Keppler United States 16 482 461 206 132 128 21 959
Grace Ziegler United States 8 465 1.0× 503 1.1× 221 1.1× 206 1.6× 72 0.6× 8 894
Sadako Yamagata Japan 19 580 1.2× 359 0.8× 275 1.3× 236 1.8× 65 0.5× 47 1.1k
Sandra L. Biroc United States 15 733 1.5× 311 0.7× 574 2.8× 142 1.1× 108 0.8× 22 1.4k
Jeou-Yuan Chen Taiwan 15 606 1.3× 139 0.3× 265 1.3× 164 1.2× 89 0.7× 26 986
Ayman Rahman United States 15 469 1.0× 215 0.5× 567 2.8× 118 0.9× 77 0.6× 18 1.2k
Brian C.‐S. Liu United States 20 635 1.3× 191 0.4× 194 0.9× 64 0.5× 48 0.4× 44 1.3k
Ilka Warshawsky United States 19 561 1.2× 229 0.5× 141 0.7× 177 1.3× 31 0.2× 33 1.2k
Karl R. N. Baumforth United Kingdom 12 436 0.9× 150 0.3× 403 2.0× 84 0.6× 44 0.3× 19 863
Rikke Egelund Denmark 10 516 1.1× 707 1.5× 236 1.1× 120 0.9× 20 0.2× 10 1.2k
Takeharu Sakamoto Japan 22 587 1.2× 566 1.2× 307 1.5× 108 0.8× 30 0.2× 54 1.2k

Countries citing papers authored by Daniel Keppler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Keppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Keppler. 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 Daniel Keppler. The network helps show where Daniel Keppler may publish in the future.

Co-authorship network of co-authors of Daniel Keppler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Keppler. A scholar is included among the top collaborators of Daniel Keppler 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 Daniel Keppler. Daniel Keppler 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.
Keppler, Daniel, Jun Zhang, Teeru Bihani, & Athena W. Lin. (2011). Novel Expression of CST1 as Candidate Senescence Marker. The Journals of Gerontology Series A. 66A(7). 723–731. 8 indexed citations
2.
Veena, Mysore S., Grant Lee, Daniel Keppler, et al.. (2008). Inactivation of the cystatin E/M tumor suppressor gene in cervical cancer. Genes Chromosomes and Cancer. 47(9). 740–754. 29 indexed citations
3.
Rivenbark, Ashley G., Chad Livasy, C. Boyd, Daniel Keppler, & William B. Coleman. (2007). Methylation-dependent silencing of CST6 in primary human breast tumors and metastatic lesions. Experimental and Molecular Pathology. 83(2). 188–197. 39 indexed citations
4.
Lü, Jining, Jun Qian, Daniel Keppler, & Wellington V. Cardoso. (2007). Cathespin H Is an Fgf10 Target Involved in Bmp4 Degradation during Lung Branching Morphogenesis. Journal of Biological Chemistry. 282(30). 22176–22184. 22 indexed citations
5.
Keppler, Daniel. (2006). Towards novel anti-cancer strategies based on cystatin function. Cancer Letters. 235(2). 159–176. 113 indexed citations
6.
Jie, Chunfa, Paula Polk, Ravi Shridhar, et al.. (2005). The candidate tumor suppressor CST6 alters the gene expression profile of human breast carcinoma cells: Down-regulation of the potent mitogenic, motogenic, and angiogenic factor autotaxin. Biochemical and Biophysical Research Communications. 340(1). 175–182. 23 indexed citations
7.
Keppler, Daniel, Jun Zhang, Seiichi Matsui, et al.. (2005). Defined genetic events associated with the spontaneous in vitro transformation of ElA/Ras-expressing human IMR90 fibroblasts. Carcinogenesis. 27(2). 350–359. 13 indexed citations
8.
Keppler, Daniel & Felipe Sierra. (2005). Role of Cystatins in Tumor Neovascularization. Future Oncology. 1(5). 661–672. 3 indexed citations
9.
Zhang, Jun, Ravi Shridhar, Qun Dai, et al.. (2004). Cystatin M. Cancer Research. 64(19). 6957–6964. 72 indexed citations
10.
Shridhar, Ravi, Jun Zhang, Song Jin, et al.. (2003). Cystatin M suppresses the malignant phenotype of human MDA-MB-435S cells. Oncogene. 23(12). 2206–2215. 68 indexed citations
11.
Hulkower, Keren I., Christopher Butler, Bruce E. Linebaugh, et al.. (2000). Fluorescent microplate assay for cancer cell‐associated cathepsin B. European Journal of Biochemistry. 267(13). 4165–4170. 52 indexed citations
12.
Keppler, Daniel, et al.. (2000). Increased expression of mature cathepsin B in aging rat liver. Cell and Tissue Research. 302(2). 181–188. 25 indexed citations
13.
Linebaugh, Bruce E., Mansoureh Sameni, Nancy A. Day, Bonnie F. Sloane, & Daniel Keppler. (1999). Exocytosis of active cathepsin B. European Journal of Biochemistry. 264(1). 100–109. 131 indexed citations
14.
Keppler, Daniel, Bernard Sordat, & Felipe Sierra. (1997). T-Kininogen present in the liver of old rats is biologically active and readily forms complexes with endogenous cysteine proteinases. Mechanisms of Ageing and Development. 98(2). 151–165. 8 indexed citations
15.
Keppler, Daniel & Bonnie F. Sloane. (1996). Cathepsin B: Multiple Enzyme Forms from aSingle Gene and Their Relation to Cancer. PubMed. 49(1-3). 94–105. 70 indexed citations
16.
Keppler, Daniel, Mansoureh Sameni, Kamiar Moin, et al.. (1996). Tumor progression and angiogenesis: cathepsin B &Co.. Biochemistry and Cell Biology. 74(6). 799–810. 70 indexed citations
17.
Keppler, Daniel, et al.. (1994). Latency of cathepsin B secreted by human colon carcinoma cells is not linked to secretion of cystacin C and is relieved by neutrophil elastase. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1226(2). 117–125. 46 indexed citations
18.
Keppler, Daniel, Magnus Abrahamson, & Bernard Sordat. (1994). Secretion of cathepsin B and tumour invasion. Biochemical Society Transactions. 22(1). 43–49. 25 indexed citations
19.
Abrahamson, Magnus, et al.. (1992). Cystatin C and cathepsin B in human colon carcinoma: Expression by cell lines and matrix degradation. International Journal of Cancer. 52(4). 645–652. 70 indexed citations
20.
Pagano, Maurice, et al.. (1986). Inhibition of the cathepsin B like proteinase by a low molecular weight cysteine-proteinase inhibitor from ascitic fluid and plasma α2 macroglobulin. Biochemistry and Cell Biology. 64(12). 1218–1225. 13 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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