Michael Dan

122 papers receiving 2.1k citations

Peers

Michael Dan
Comparison fields: 5 of 100
  • Microbiology 410
  • Applied Microbiology and Biotechnology 79
  • Molecular Medicine 177
  • Infectious Diseases 440
  • Endocrinology 56
Replace Tsuyoshi Nagatake with:
Tsuyoshi Nagatake Japan
Gary D. Overturf United States
Robert A Wall United Kingdom
Baek-Nam Kim South Korea
Oğuz Reşat Sıpahı Türkiye
Morven S. Edwards United States
Maja Rozenberg-Arska Netherlands
Yardena Siegman‐Igra Israel
Won Sup Oh South Korea
Chen‐Hsiang Lee Taiwan
Michael Dan relative to Tsuyoshi Nagatake Japan Tsuyoshi Nagatake's profile →
Citations per field
00.5×1.5×2.2×
Tsuyoshi Nagatake · 1×
Citations per year

Countries citing papers authored by Michael Dan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Dan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Dan Line = papers co-authored together Michael Dan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012152
2 2015120
3 200487
4 198375
5 201472
6 200355
7 197753
8 200350
9 198449
10 201743
11 200442
12 198641
13 200141
14 199340
15 200239
16 199035
17 199035
18 199733
19
Vaginitis in a gynecologic practice in Israel: causes and risk factors.
200333
20 200432

About Michael Dan

Michael Dan is a scholar working on Microbiology, Pharmacology, Infectious Diseases, Epidemiology and Molecular Medicine, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive tract infections research (22 papers), Antibiotics Pharmacokinetics and Efficacy (19 papers), Antibiotic Resistance in Bacteria (10 papers), Antifungal resistance and susceptibility (8 papers), Salmonella and Campylobacter epidemiology (6 papers), Sepsis Diagnosis and Treatment (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Neonatal and Maternal Infections (4 papers). The work is most often cited by research in Microbiology (410 citations), Applied Microbiology and Biotechnology (79 citations), Molecular Medicine (177 citations), Infectious Diseases (440 citations) and Endocrinology (56 citations). Michael Dan has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Zmira Samra, Orit Yossepowitch, Arthur Leibovitz, Zohar Mor, Jihad Bishara, Daniel Levin, Israel E. Priel, Jack D. Sobel, Zamir Halpern and Alfred Gorea. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Sexually Transmitted Diseases, Diagnostic Microbiology and Infectious Disease, Sexually Transmitted Infections and Journal of Antimicrobial Chemotherapy.

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.

Explore authors with similar magnitude of impact