H. Sprecher

23 total papers · 729 total citations
18 papers, 544 citations indexed

About

H. Sprecher is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, H. Sprecher has authored 18 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Infectious Diseases and 5 papers in Molecular Medicine. Recurrent topics in H. Sprecher's work include Fungal Infections and Studies (6 papers), Antifungal resistance and susceptibility (6 papers) and Antibiotic Resistance in Bacteria (5 papers). H. Sprecher is often cited by papers focused on Fungal Infections and Studies (6 papers), Antifungal resistance and susceptibility (6 papers) and Antibiotic Resistance in Bacteria (5 papers). H. Sprecher collaborates with scholars based in Israel, Czechia and United States. H. Sprecher's co-authors include Imad Kassis, Ilana Oren, Renato Finkelstein, I. Oren, Tania Mashiach, Khetam Hussein, Tsila Zuckerman, Riva Fineman, Noam Benyamini and R. Finkelstein and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Infection Control and Hospital Epidemiology.

In The Last Decade

H. Sprecher

18 papers receiving 534 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
H. Sprecher 271 263 159 123 106 18 544
Yong Kyun Cho 215 0.8× 230 0.9× 107 0.7× 84 0.7× 94 0.9× 34 569
Rossana Rosa 258 1.0× 301 1.1× 177 1.1× 146 1.2× 152 1.4× 44 563
Canan Külah 217 0.8× 174 0.7× 183 1.2× 81 0.7× 54 0.5× 37 576
María Pía Roiz Mesones 174 0.6× 307 1.2× 173 1.1× 87 0.7× 105 1.0× 25 590
Ronald N. Master 246 0.9× 365 1.4× 81 0.5× 72 0.6× 103 1.0× 16 595
Maite Ruíz 212 0.8× 317 1.2× 188 1.2× 57 0.5× 100 0.9× 11 481
William Mandell 221 0.8× 274 1.0× 170 1.1× 185 1.5× 50 0.5× 14 607
Juan José Castón 287 1.1× 287 1.1× 136 0.9× 166 1.3× 147 1.4× 35 547
Palash Samanta 145 0.5× 220 0.8× 176 1.1× 102 0.8× 58 0.5× 28 522
Caterina Campoli 336 1.2× 252 1.0× 144 0.9× 241 2.0× 96 0.9× 32 588

Countries citing papers authored by H. Sprecher

Since Specialization
Citations

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

Fields of papers citing papers by H. Sprecher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Sprecher

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

All Works

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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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