R Wallich

1.1k citations
17 papers · 968 · h-index 14

Impact in

Papers in

    • Vector-borne infectious diseases 14
    • Leptospirosis research and findings 2
    • Toxin Mechanisms and Immunotoxins 6

R Wallich

17 papers receiving 911 citations

Peers

R Wallich
Comparison fields: 5 of 46
  • Parasitology 786
  • Infectious Diseases 566
  • Insect Science 167
  • Immunology 262
  • Ecology, Evolution, Behavior and Systematics 208
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Citations per year

Countries citing papers authored by R Wallich

Since Specialization
Citations

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

Fields of papers citing papers by R Wallich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1994178
2 1990129
3 1995128
4 199464
5 199162
6 199356
7 199355
8 199248
9 199348
10 198946
11 199640
12 199438
13
A 14,000 MW lipoprotein and a glycolipid-like structure of Borrelia burgdorferi induce proliferation and immunoglobulin production in mouse B cells at high frequencies.
199437
14 199324
15
A mouse model for Borrelia burgdorferi infection: pathogenesis, immune response and protection.
199111
16
[Borrelia burgdorferi infection. I. Aspects of basic research, current approach for diagnosis and therapy].
19903
17
[Polymerase chain reaction in the demonstration of Borrelia burgdorferi DNA].
19901

About R Wallich

R Wallich is a scholar working on Parasitology, Immunology, Infectious Diseases, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 968 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (14 papers), Toxin Mechanisms and Immunotoxins (6 papers), Viral Infections and Vectors (6 papers), Insect and Pesticide Research (4 papers), Vector-Borne Animal Diseases (2 papers), Leptospirosis research and findings (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Dermatological diseases and infestations (1 paper). The work is most often cited by research in Parasitology (786 citations), Infectious Diseases (566 citations), Insect Science (167 citations), Immunology (262 citations) and Ecology, Evolution, Behavior and Systematics (208 citations). R Wallich has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Markus M. Simon, Michael D. Kramer, Hans J. Fuchs, Catherine Brenner, U E Schaible, Ulrich E. Schaible, S E Moter, Lise Gern, Michael D. Kramer and Klaus Ebnet. Their work appears in journals such as Infection and Immunity, Immunology Letters, Journal of Clinical Microbiology, European Journal of Immunology and Journal of Clinical Investigation.

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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