Ursula A. Germann

6.4k citations
49 papers · 4.8k indexed · 1 hit paper · h-index 31

Impact in

Papers in

    • Adenosine and Purinergic Signaling 6
    • Drug Transport and Resistance Mechanisms 26

Ursula A. Germann

49 papers receiving 4.7k citations

Hit Papers

Expression of the human multidrug resistance cDNA in insect cells generates a high activity drug-stimulated membrane ATPase. 1992 · 562 citations
5621992202620032014100200300400500

Peers

Ursula A. Germann
Comparison fields: 5 of 111
  • Oncology 2.9k
  • Pediatrics, Perinatology and Child Health 935
  • Infectious Diseases 791
  • Physiology 176
  • Molecular Biology 2.4k
Replace Carol Cardarelli with:
Carol Cardarelli United States
Ahmad R. Safa United States
Michael M. Gottesman United States
Christine A. Hrycyna United States
T Tsuruo Japan
András Váradi Hungary
Shigeru Tsukagoshi Japan
Anne H. Dantzig United States
Marcel de Haas Netherlands
Suneet Shukla United States
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Citations per field
00.5×1.7×
Carol Cardarelli · 1×
Citations per year

Countries citing papers authored by Ursula A. Germann

Since Specialization
Citations

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

Fields of papers citing papers by Ursula A. Germann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula A. Germann. 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 Ursula A. Germann. The network helps show where Ursula A. Germann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2007250
2 2005106
3 20031
4 20006
5 199971
6 199814
7 1997119
8 1997113
9 1996149
10 1996368
11 199557
12 199516
13 1995417
14 199541
15 19946
16 199427
17 199117
18 199132
19 1990110
20 198711

About Ursula A. Germann

Ursula A. Germann is a scholar working on Physiology, Oncology, Biochemistry, Infectious Diseases and Molecular Biology, having authored 49 papers that have together received 4.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (26 papers), HIV/AIDS drug development and treatment (10 papers), Melanoma and MAPK Pathways (6 papers), Adenosine and Purinergic Signaling (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Enzyme-mediated dye degradation (4 papers), RNA Interference and Gene Delivery (4 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Oncology (2.9k citations), Pediatrics, Perinatology and Child Health (935 citations), Infectious Diseases (791 citations), Physiology (176 citations) and Molecular Biology (2.4k citations). Ursula A. Germann has collaborated with scholars based in United States, Switzerland and Hungary. Frequent co-authors include Michael M. Gottesman, Ira Pastan, Balázs Sarkadi, Elmer M. Price, Christine A. Hrycyna, R. C. Boucher, Konrad Lerch, Gene A. Scarborough, I Pastan and Patricia V. Schoenlein. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Anti-Cancer Drugs, The FASEB Journal and Proceedings of the National Academy of Sciences.

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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