Teshome Yehualaeshet

814 total citations
17 papers, 677 citations indexed

About

Teshome Yehualaeshet is a scholar working on Molecular Biology, Genetics and Food Science. According to data from OpenAlex, Teshome Yehualaeshet has authored 17 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Food Science. Recurrent topics in Teshome Yehualaeshet's work include Salmonella and Campylobacter epidemiology (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Teshome Yehualaeshet is often cited by papers focused on Salmonella and Campylobacter epidemiology (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Teshome Yehualaeshet collaborates with scholars based in United States, Canada and Ethiopia. Teshome Yehualaeshet's co-authors include Robert O’Connor, Joanne E. Murphy-Ullrich, Nasreen Khalil, Roy L. Silverstein, Soo Jung Cho, Svetlana P. Chapoval, Patty J. Lee, Paul W. Noble, Min‐Jong Kang and Jeffrey Milbrandt and has published in prestigious journals such as The Journal of Experimental Medicine, Cancer Research and American Journal Of Pathology.

In The Last Decade

Teshome Yehualaeshet

15 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teshome Yehualaeshet United States 8 288 276 96 62 61 17 677
Poonam Gautam India 15 319 1.1× 116 0.4× 58 0.6× 66 1.1× 43 0.7× 38 676
Julien Wartelle France 13 155 0.5× 174 0.6× 191 2.0× 63 1.0× 50 0.8× 15 654
Larry Dobbs United States 14 371 1.3× 126 0.5× 46 0.5× 69 1.1× 84 1.4× 19 623
Maria Massucci Italy 11 255 0.9× 181 0.7× 68 0.7× 228 3.7× 30 0.5× 17 722
Keiko Komatsu Japan 13 255 0.9× 183 0.7× 88 0.9× 77 1.2× 32 0.5× 24 748
Lisa D. Berman-Booty United States 12 336 1.2× 146 0.5× 289 3.0× 155 2.5× 59 1.0× 21 844
Hyang Ran Ju South Korea 8 353 1.2× 45 0.2× 128 1.3× 47 0.8× 48 0.8× 9 591
Huilan Yang China 15 169 0.6× 107 0.4× 82 0.9× 72 1.2× 34 0.6× 38 548
Kris Nys Belgium 15 483 1.7× 73 0.3× 177 1.8× 91 1.5× 37 0.6× 19 824
Fumio Kinoshita Japan 13 180 0.6× 142 0.5× 195 2.0× 113 1.8× 38 0.6× 44 642

Countries citing papers authored by Teshome Yehualaeshet

Since Specialization
Citations

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

Fields of papers citing papers by Teshome Yehualaeshet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teshome Yehualaeshet

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

All Works

17 of 17 papers shown
1.
Collier, Willard E., et al.. (2018). Influence of Metabolite Extraction Methods on 1H-NMR-Based Metabolomic Profiling of Enteropathogenic Yersinia. Methods and Protocols. 1(4). 45–45.
2.
Gales, Dominique N., et al.. (2017). Bromoethylindole (BEI-9) redirects NF-κB signaling induced by camptothecin and TNFα to promote cell death in colon cancer cells. APOPTOSIS. 22(12). 1553–1563. 6 indexed citations
3.
Yehualaeshet, Teshome, et al.. (2016). Phage‐Based Biosensor and Optimization of Surface Blocking Agents to Detect Salmonella Typhimurium on Romaine Lettuce. Journal of Food Safety. 37(2). 16 indexed citations
4.
Elgendy, Ramy, Satyanarayana R. Pondugula, Teshome Yehualaeshet, et al.. (2015). 3-(2-Bromoethyl)-indole inhibits the growth of cancer cells and NF-κB activation. Oncology Reports. 34(1). 495–503. 7 indexed citations
5.
Mengistu, Alemayehu, et al.. (2014). Calves' sex ratio in naturally and artificially bred cattle in central Ethiopia. Theriogenology. 82(3). 433–439. 7 indexed citations
6.
Abdela, Woubit, et al.. (2013). Customizable PCR-Microplate Array for Differential Identification of Multiple Pathogens. Journal of Food Protection. 76(11). 1948–1957. 4 indexed citations
7.
8.
Abdela, Woubit, Teshome Yehualaeshet, Tsegaye Habtemariam, & Temesgen Samuel. (2012). Novel Genomic Tools for Specific and Real-Time Detection of Biothreat and Frequently Encountered Foodborne Pathogens. Journal of Food Protection. 75(4). 660–670. 12 indexed citations
9.
Abdela, Woubit, et al.. (2011). EFFECTS OF ORANGE JUICE pH ON SURVIVAL, UREASE ACTIVITY AND DNA PROFILES OF YERSINIA ENTEROCOLITICA AND YERSINIA PSEUDOTUBERCULOSIS STORED AT 4C. Journal of Food Safety. 31(4). 487–496. 7 indexed citations
10.
Samuel, Temesgen, et al.. (2011). Abstract 2005: Modulation of tumor suppressor gene DNA-methylation by quercetin and dietary indoles. Cancer Research. 71(8_Supplement). 2005–2005.
11.
Yehualaeshet, Teshome, et al.. (2011). Ruta graveolens extract induces DNA damage pathways and blocks Akt activation to inhibit cancer cell proliferation and survival.. PubMed. 31(1). 233–41. 31 indexed citations
12.
Samuel, Temesgen, et al.. (2010). The Flavonoid Quercetin Transiently Inhibits the Activity of Taxol and Nocodazole Through Interference With the Cell Cycle. Nutrition and Cancer. 62(8). 1025–1035. 24 indexed citations
13.
Habtemariam, Tsegaye, et al.. (2009). COMPARATIVE ASSESSMENT OF STANDARD CULTURE AND REAL‐TIME POLYMERASE CHAIN REACTION TO DETECT CAMPYLOBACTER JEJUNI IN RETAIL CHICKEN SAMPLES. Journal of Food Safety. 29(4). 588–600. 2 indexed citations
14.
Habtemariam, Tsegaye, et al.. (2006). Real-time PCR assay for rapid detection and quantification of Campylobacter jejuni on chicken rinses from poultry processing plant. Molecular and Cellular Probes. 21(3). 177–181. 34 indexed citations
15.
Lee, Chun Geun, Soo Jung Cho, Min‐Jong Kang, et al.. (2004). Early Growth Response Gene 1–mediated Apoptosis Is Essential for Transforming Growth Factor β1–induced Pulmonary Fibrosis. The Journal of Experimental Medicine. 200(3). 377–389. 305 indexed citations
16.
Yehualaeshet, Teshome, Robert O’Connor, Asher Begleiter, et al.. (2000). A CD36 Synthetic Peptide Inhibits Bleomycin-Induced Pulmonary Inflammation and Connective Tissue Synthesis in the Rat. American Journal of Respiratory Cell and Molecular Biology. 23(2). 204–212. 66 indexed citations
17.
Yehualaeshet, Teshome, Robert O’Connor, Julia M. Green-Johnson, et al.. (1999). Activation of Rat Alveolar Macrophage-Derived Latent Transforming Growth Factor β-1 by Plasmin Requires Interaction with Thrombospondin-1 and its Cell Surface Receptor, CD36. American Journal Of Pathology. 155(3). 841–851. 150 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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