Christopher Bachran

48 papers receiving 1.2k citations

Peers

Christopher Bachran
Comparison fields: 5 of 83
  • Biotechnology 236
  • Immunology 528
  • Molecular Biology 820
  • Physiology 45
  • Toxicology 22
Replace Joanna Rossowska with:
Joanna Rossowska Poland
Dagmar Zweytick Austria
Robert A. Spooner United Kingdom
Zhimeng Wu China
Yen‐Hua Huang Australia
Glynn Wilson United States
Terrance A. Stadheim United States
M. Hammarstrom Sweden
Karel Bezouška Czechia
A Mattioli Italy
Christopher Bachran relative to Joanna Rossowska Poland Joanna Rossowska's profile →
Citations per field
00.5×3.8×
Joanna Rossowska · 1×
Citations per year

Countries citing papers authored by Christopher Bachran

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Bachran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200891
2 201278
3 201072
4 201767
5 200964
6 200555
7 200647
8 200846
9 201643
10 201239
11 200939
12 200634
13 201034
14 200634
15 200933
16 200932
17 201424
18 201423
19 200822
20 201321

About Christopher Bachran

Christopher Bachran is a scholar working on Immunology, Biotechnology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (32 papers), Natural product bioactivities and synthesis (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Ginseng Biological Effects and Applications (6 papers), Biochemical and Structural Characterization (6 papers), Bacillus and Francisella bacterial research (6 papers), Bacteriophages and microbial interactions (5 papers) and Transgenic Plants and Applications (5 papers). The work is most often cited by research in Biotechnology (236 citations), Immunology (528 citations), Molecular Biology (820 citations), Physiology (45 citations) and Toxicology (22 citations). Christopher Bachran has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hendrik Fuchs, Diana Bachran, Matthias F. Melzig, Mark Sutherland, Alexander Weng, Stephen H. Leppla, Iring Heisler, Lee Kim Swee, P. Markus Deckert and Rasem Fattah. Their work appears in journals such as Scientific Reports, Journal of Immunotherapy, European Journal of Pharmaceutics and Biopharmaceutics, Journal of Controlled Release and Mini-Reviews in Medicinal Chemistry.

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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