Hany Sahly

2.2k total citations
38 papers, 1.4k citations indexed

About

Hany Sahly is a scholar working on Molecular Medicine, Endocrinology and Epidemiology. According to data from OpenAlex, Hany Sahly has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Medicine, 11 papers in Endocrinology and 9 papers in Epidemiology. Recurrent topics in Hany Sahly's work include Antibiotic Resistance in Bacteria (13 papers), Spondyloarthritis Studies and Treatments (6 papers) and Escherichia coli research studies (5 papers). Hany Sahly is often cited by papers focused on Antibiotic Resistance in Bacteria (13 papers), Spondyloarthritis Studies and Treatments (6 papers) and Escherichia coli research studies (5 papers). Hany Sahly collaborates with scholars based in Germany, Israel and United States. Hany Sahly's co-authors include Rainer Podschun, U. Ullmann, Itzhak Ofek, Erika C. Crouch, Yona Keisari, Jürgen Harder, Jens‐Michael Schröder, R. Jungwirth, Ines Schneider and A. Bauernfeind and has published in prestigious journals such as The Journal of Immunology, Biochemistry and Clinical Infectious Diseases.

In The Last Decade

Hany Sahly

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hany Sahly Germany 23 455 373 292 270 249 38 1.4k
B U von Specht Germany 21 227 0.5× 362 1.0× 245 0.8× 185 0.7× 139 0.6× 35 1.1k
Niels Nørskov‐Lauritsen Denmark 25 215 0.5× 580 1.6× 215 0.7× 545 2.0× 406 1.6× 95 1.9k
Maria Cristina Plotkowski Brazil 20 140 0.3× 677 1.8× 292 1.0× 132 0.5× 253 1.0× 36 1.4k
Jim Manos Australia 21 377 0.8× 764 2.0× 71 0.2× 153 0.6× 197 0.8× 42 1.4k
Jo L. Latimer United States 24 244 0.5× 345 0.9× 162 0.6× 745 2.8× 193 0.8× 27 1.7k
Kevin M. Mason United States 20 163 0.4× 526 1.4× 157 0.5× 515 1.9× 210 0.8× 36 1.5k
Éric Abachin France 16 106 0.2× 258 0.7× 144 0.5× 445 1.6× 178 0.7× 31 1.5k
Chi‐Jung Wu Taiwan 20 267 0.6× 159 0.4× 306 1.0× 298 1.1× 205 0.8× 45 1.2k
Christophe Carnoy France 20 85 0.2× 537 1.4× 375 1.3× 181 0.7× 245 1.0× 43 1.4k

Countries citing papers authored by Hany Sahly

Since Specialization
Citations

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

Fields of papers citing papers by Hany Sahly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hany Sahly

This figure shows the co-authorship network connecting the top 25 collaborators of Hany Sahly. A scholar is included among the top collaborators of Hany Sahly 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 Hany Sahly. Hany Sahly 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.
Herzberg, Jonas, Tanja Vollmer, Bastian Fischer, et al.. (2020). Prospective Sero-epidemiological Evaluation of SARS-CoV-2 among Health Care Workers in a German Secondary Care Hospital. International Journal of Infectious Diseases. 102. 136–143. 17 indexed citations
2.
Noah, Christian, et al.. (2014). Ongoing epidemic of lymphogranuloma venereum in HIV‐positive men who have sex with men: how symptoms should guide treatment. Journal of the International AIDS Society. 17(4S3). 19657–19657. 8 indexed citations
3.
Lange, Christoph, Daniela Strodthoff, Torsten Goldmann, et al.. (2011). S100A7/psoriasin expression in the human lung: unchanged in patients with COPD, but upregulated upon positive S. aureusdetection. BMC Pulmonary Medicine. 11(1). 10–10. 18 indexed citations
4.
Bleich, André, Petra Kirsch, Hany Sahly, et al.. (2008). Klebsiella oxytoca: opportunistic infections in laboratory rodents. Laboratory Animals. 42(3). 369–375. 26 indexed citations
5.
Sahly, Hany, Yona Keisari, & Itzhak Ofek. (2008). Manno(Rhamno)Biose-Containing Capsular Polysaccharides of <i>Klebsiella pneumoniae </i>Enhance Opsono-Stimulation of Human Polymorphonuclear Leukocytes. Journal of Innate Immunity. 1(2). 136–144. 17 indexed citations
6.
Sahly, Hany, Yona Keisari, Erika C. Crouch, Nathan Sharon, & Itzhak Ofek. (2007). Recognition of Bacterial Surface Polysaccharides by Lectins of the Innate Immune System and Its Contribution to Defense against Infection: the Case of Pulmonary Pathogens. Infection and Immunity. 76(4). 1322–1332. 47 indexed citations
7.
Sahly, Hany, Sabine Schubert, Jürgen Harder, et al.. (2006). Activity of human β-defensins 2 and 3 against ESBL-producing Klebsiella strains. Journal of Antimicrobial Chemotherapy. 57(3). 562–565. 18 indexed citations
8.
Rosenstiel, Philip, Stephan Hellmig, Jochen Hampe, et al.. (2006). Influence of polymorphisms in the NOD1/CARD4 and NOD2/CARD15 genes on the clinical outcome of Helicobacter pylori infection. Cellular Microbiology. 8(7). 1188–1198. 96 indexed citations
9.
10.
11.
Sahly, Hany, Hazel M. Aucken, Vicente J. Benedí, et al.. (2004). Impairment of Respiratory Burst in Polymorphonuclear Leukocytes by Extended-Spectrum Beta-Lactamase-Producing Strains of Klebsiella pneumoniae. European Journal of Clinical Microbiology & Infectious Diseases. 23(1). 20–26. 19 indexed citations
12.
Sahly, Hany, Sabine Schubert, Jürgen Harder, et al.. (2003). Burkholderia Is Highly Resistant to Human Beta-Defensin 3. Antimicrobial Agents and Chemotherapy. 47(5). 1739–1741. 59 indexed citations
13.
Sahly, Hany, Itzhak Ofek, Rainer Podschun, et al.. (2002). Surfactant Protein D Binds Selectively to Klebsiella pneumoniae Lipopolysaccharides Containing Mannose-Rich O-Antigens. The Journal of Immunology. 169(6). 3267–3274. 47 indexed citations
14.
Sahly, Hany, Rainer Podschun, & U. Ullmann. (2002). Klebsiella Infections in the Immunocompromised Host. Advances in experimental medicine and biology. 479. 237–249. 26 indexed citations
15.
Ofek, Itzhak, Adi Mesika, M. Kalina, et al.. (2001). Surfactant Protein D Enhances Phagocytosis and Killing of Unencapsulated Phase Variants ofKlebsiella pneumoniae. Infection and Immunity. 69(1). 24–33. 96 indexed citations
16.
Seta, Noriyuki, Kaisa Granfors, Hany Sahly, et al.. (2001). Expression of host defense scavenger receptors in spondylarthropathy. Arthritis & Rheumatism. 44(4). 931–939. 22 indexed citations
17.
Goldhar, Janina, Ehud Skutelsky, Rachel Perry, et al.. (1999). Inability of encapsulatedKlebsiella pneumoniaeto assemble functional type 1 fimbriae on their surface. FEMS Microbiology Letters. 179(1). 123–130. 30 indexed citations
18.
19.
Sahly, Hany, et al.. (1994). Serum antibodies to klebsiella capsular polysaccharides in ankylosing spondylitis. Arthritis & Rheumatism. 37(5). 754–759. 24 indexed citations
20.
Podschun, Rainer & Hany Sahly. (1991). Hemagglutinins of Klebsiella pneumoniae and K. oxytoca isolated from different sources.. PubMed. 191(1). 46–52. 15 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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