Karl Habel

4.9k citations
71 papers · 3.7k indexed · 1 hit paper · h-index 26

Karl Habel

66 papers receiving 3.2k citations

Hit Papers

Fundamental techniques in virology.1.6k196920261988200750010001.5k

Peers

Karl Habel
Comparison fields: 5 of 108
  • Virology 369
  • Animal Science and Zoology 480
  • Genetics 1.1k
  • Oncology 726
  • Immunology 542
Replace Ian Macpherson with:
Ian Macpherson United Kingdom
J. T. August United States
G. D. Hsiung United States
Mette Strand United States
Brian W. J. Mahy United Kingdom
Albert S. Kaplan United States
John W. Kreider United States
J. H. Subak‐Sharpe United Kingdom
Hans J. Zweerink United States
Harry M. Rose United States
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Citations per field
00.5×1.5×2.2×
Ian Macpherson · 1×
Citations per year

Countries citing papers authored by Karl Habel

Since Specialization
Citations

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

Fields of papers citing papers by Karl Habel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Tuberculosis in a Laboratory Monkey Colony1
20190
2 197229
3 19674
4
Laboratory techniques in rabies. Habel test for potency.
19669
5 196623
6
Continued viral influence in virus-free polyoma tumors.
19651
7 196515
8 196351
9 196273
10 1962103
11 195918
12 195728
13 19576
14 19578
15 19573
16
Técnicas de laboratorio aplicadas a la rabia
19561
17 195685
18
Rabies neutralizing antibody response to different schedules of serum and vaccine inoculations in non-exposed persons.
195672
19
Immunity response in mumps with complications.
19527
20 195111

About Karl Habel

Karl Habel is a scholar working on Virology, Animal Science and Zoology and Genetics, having authored 71 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Polyomavirus and related diseases (22 papers), Animal Virus Infections Studies (17 papers), Rabies epidemiology and control (15 papers), Viral Infections and Immunology Research (11 papers), Virology and Viral Diseases (10 papers), Poxvirus research and outbreaks (9 papers) and Viral gastroenteritis research and epidemiology (7 papers). The work is most often cited by research in Virology (369 citations), Animal Science and Zoology (480 citations) and Genetics (1.1k citations). Karl Habel has collaborated with scholars based in United States, Malaysia and France. Frequent co-authors include Norman P. Salzman, K. K. Takemoto, Lowell A. Glasgow, Bernice E. Eddy, Harry Eagle, Rosalie J. Silverberg, George J. Todaro, Ruth L. Kirschstein, Hilary Koprowski and Alexis Shelokov. Their work appears in journals such as Experimental Biology and Medicine, Virology, The Journal of Experimental Medicine, Annals of the New York Academy of Sciences and Current topics in microbiology and immunology.

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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