Thomas H. Eckhardt

35 papers receiving 2.0k citations

Thomas H. Eckhardt's Hit Papers

A rapid method for the identification of plasmid desoxyribonucleic acid in bacteria 1978 · 871 citations
8710+16+32Years since publication250500750

Peers

Thomas H. Eckhardt
Comparison fields: 5 of 128
  • Microbiology 403
  • Molecular Medicine 86
  • Endocrinology 81
  • Plant Science 565
  • Ecology 334
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Citations per year

Countries citing papers authored by Thomas H. Eckhardt

Since Specialization
Citations

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

Fields of papers citing papers by Thomas H. Eckhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A rapid method for the identification of plasmid desoxyribonucleic acid in bacteria
Hit paper breakdown →
1978871
2 1998460
3 1987100
4 198270
5 199865
6 199364
7 198860
8 199457
9 198753
10 201552
11 198850
12 201345
13 198343
14 199934
15 198128
16 198827
17 199324
18 198123
19 197621
20
Minor adverse events in a comparative efficacy trial in Germany in infants receiving either the Lederle/Takeda acellular pertussis component DTP (DTaP) vaccine, the Lederle whole-cell component DTP (DTP) or DT vaccine. The Pertussis Vaccine Study Group.
199720

About Thomas H. Eckhardt

Thomas H. Eckhardt is a scholar working on Microbiology, Genetics, Molecular Biology, Epidemiology and Biotechnology, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (10 papers), Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (7 papers), Pneumonia and Respiratory Infections (6 papers), Bacteriophages and microbial interactions (4 papers), Blood properties and coagulation (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Microbiology (403 citations), Molecular Medicine (86 citations), Endocrinology (81 citations), Plant Science (565 citations) and Ecology (334 citations). Thomas H. Eckhardt has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ulrich Heininger, KLEMENS STEHR, James D. Cherry, Suzanne Laussucq, Peter D. Christenson, Michael A. Ueberall, Sabina Schmitt‐Grohé, Martin F. Meyer, Rita Engelhardt and Dongbin Lim. Their work appears in journals such as Journal of Bacteriology, Journal of Clinical Investigation, Molecular Microbiology, PEDIATRICS and Nucleic Acids Research.

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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