Daniel Bachmann

26 papers receiving 537 citations

Peers

Daniel Bachmann
Comparison fields: 5 of 112
  • Emergency Medical Services 52
  • Immunology 132
  • Immunology and Allergy 34
  • Molecular Biology 291
  • Cancer Research 51
Replace Karen M. Huelsman with:
Karen M. Huelsman United States
Emi Sato Japan
В. П. Пузырев Russia
Vanina Rodríguez Spain
Thomas Oates United Kingdom
J. U. Lovegrove United Kingdom
Zahi Abdul Sater Lebanon
Nicholas L. Rider United States
Yung-Chi Chang Taiwan
Vikram Arora United States
Daniel Bachmann relative to Karen M. Huelsman United States Karen M. Huelsman's profile →
Citations per field
00.5×4.3×
Karen M. Huelsman · 1×
Citations per year

Countries citing papers authored by Daniel Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Bachmann, 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 Daniel Bachmann Line = papers co-authored together Daniel Bachmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 201670
3 199446
4 201245
5 201535
6 199634
7 201730
8 200028
9 201325
10 202024
11 201723
12 202121
13 201518
14 201810
15 20216
16 20235
17 20215
18 20243
19 20163
20
[Therapeutic efficacy and diagnostic potential of adenosine in infants and children].
19953

About Daniel Bachmann

Daniel Bachmann is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Epidemiology and Infectious Diseases, having authored 26 papers that have together received 548 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (3 papers), RNA Interference and Gene Delivery (3 papers), Cell death mechanisms and regulation (3 papers), Disaster Response and Management (3 papers), Viral Infections and Outbreaks Research (3 papers), COVID-19 Digital Contact Tracing (2 papers), Data-Driven Disease Surveillance (2 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Emergency Medical Services (52 citations), Immunology (132 citations), Immunology and Allergy (34 citations), Molecular Biology (291 citations) and Cancer Research (51 citations). Daniel Bachmann has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Thomas Kaufmann, Nicholas Kman, N Echeverry, Hans‐Uwe Simon, Francine Ke, Andreas Strasser, W. Wei‐Lynn Wong, Philipp J. Jost, Giacomo Cavalli and Fritz Thoma. Their work appears in journals such as Cell Death and Differentiation, Prehospital and Disaster Medicine, iScience, Medical Education Online and Cell Death and Disease.

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