Daniel Kiefer

695 citations
46 papers · 459 · h-index 10

Impact in

Papers in

    • Biomedical and Chemical Research 8
    • Yersinia bacterium, plague, ectoparasites research 8

Daniel Kiefer

42 papers receiving 440 citations

Peers

Daniel Kiefer
Comparison fields: 5 of 51
  • Parasitology 170
  • Nuclear and High Energy Physics 120
  • Infectious Diseases 92
  • Genetics 129
  • Atomic and Molecular Physics, and Optics 136
Replace Ināra Akopjana with:
Ināra Akopjana Latvia
N. Carolino Portugal
G. Dillon Italy
Y. Watanabe Japan
John I. Robinson United States
S. Martinov Germany
Emmanuel Liénard France
Juan Pablo Aparicio Argentina
N. Hashimoto Japan
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Daniel Kiefer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kiefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012125
2 201271
3 201243
4 201640
5 201134
6 201628
7 201523
8 202117
9 201614
10 20119
11 20217
12 20164
13 20203
14 20193
15 20163
16 20142
17 20232
18 20222
19
Current State of Ixodidae Research in Mongolia
20102
20 20192

About Daniel Kiefer

Daniel Kiefer is a scholar working on Surgery, Genetics, Parasitology, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics, having authored 46 papers that have together received 459 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (8 papers), Vector-borne infectious diseases (8 papers), Biomedical and Chemical Research (8 papers), Laser-Plasma Interactions and Diagnostics (6 papers), Viral Infections and Vectors (5 papers), Animal Ecology and Behavior Studies (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Laser-induced spectroscopy and plasma (3 papers). The work is most often cited by research in Parasitology (170 citations), Nuclear and High Energy Physics (120 citations), Infectious Diseases (92 citations), Genetics (129 citations) and Atomic and Molecular Physics, and Optics (136 citations). Daniel Kiefer has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Martin Pfeffer, Anna Obiegala, Cornelia Silaghi, Holger C. Scholz, Lothar Zöller, D Otgonbaatar, Julia M. Riehm, Tobias Fink, Roman Wölfel and M. Yeung. Their work appears in journals such as Journal of Experimental Biology, Ticks and Tick-borne Diseases, Parasitology, Nature Physics and Parasitology 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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