Felix Geist

458 total citations
11 papers, 289 citations indexed

About

Felix Geist is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Felix Geist has authored 11 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Felix Geist's work include Respiratory viral infections research (3 papers), Viral Infections and Immunology Research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Felix Geist is often cited by papers focused on Respiratory viral infections research (3 papers), Viral Infections and Immunology Research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Felix Geist collaborates with scholars based in Germany, Austria and Sweden. Felix Geist's co-authors include Frederick G. Hayden, Dontscho Kerjaschki, Christoph Schell, Tobias B. Huber, Oliver Kretz, Frederick G. Hayden, Martin Helmstädter, Shuya Liu, Björn Hartleben and Gerd Walz and has published in prestigious journals such as Journal of Clinical Microbiology, Developmental Cell and Journal of the American Society of Nephrology.

In The Last Decade

Felix Geist

11 papers receiving 274 citations

Peers

Felix Geist

EPIDE

NEPHR

MB

CB

PRM

Sonia Q. Doi United States

Geli Zhu China

Yi-Jiao Huang China

Sayoko Yonemoto Japan

Bridget Litts United States

Ali Ebrahimi Iran

Sandrine Delbauve Belgium

Andrew C. Kwong Canada

Doreen E. Wesche‐Soldato United States

Marija Mihailova Latvia

Sonia Q. Doi United States

Felix Geist

38 ×0.3

EPIDE

41 ×0.5

NEPHR

105 ×1.5

MB

9 ×0.2

CB

39 ×1.0

PRM

Citations per year, relative to Felix Geist Felix Geist (= 1×) peers Sonia Q. Doi

Countries citing papers authored by Felix Geist

Since Specialization

Citations

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

Fields of papers citing papers by Felix Geist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Geist

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Geist. A scholar is included among the top collaborators of Felix Geist based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Felix Geist. Felix Geist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Jacob, Dominik, Yi Zhong, Felix Geist, et al.. (2025). Evaluation of small interfering RNA–dependent knockdowns of drug-metabolizing enzymes in multiwell array culture of primary human hepatocyte spheroids for estimation of fraction metabolized. Drug Metabolism and Disposition. 53(4). 100062–100062. 2 indexed citations

2.

Geist, Felix, Xiaojia Tang, Krishna R. Kalari, et al.. (2024). Identification of a Notch transcriptomic signature for breast cancer. Breast Cancer Research. 26(1). 4–4. 4 indexed citations

3.

Kreis, Julian, et al.. (2024). Stromal Signals Dominate Gene Expression Signature Scores That Aim to Describe Cancer Cell–intrinsic Stemness or Mesenchymality Characteristics. Cancer Research Communications. 4(2). 516–529. 2 indexed citations

4.

Vinik, Yaron, Avi Maimon, Vinay Dubey, et al.. (2024). Computational pipeline predicting cell death suppressors as targets for cancer therapy. iScience. 27(9). 110859–110859. 3 indexed citations

5.

Viteri, Santiago, et al.. (2024). Spatial profiling of METex14-altered NSCLC under tepotinib treatment: Shifting the immunosuppressive landscape. Neoplasia. 57. 101063–101063. 1 indexed citations

6.

Kreis, Julian, Johanna Mazur, Sven-Eric Schelhorn, et al.. (2021). RosettaSX: Reliable gene expression signature scoring of cancer models and patients. Neoplasia. 23(11). 1069–1077. 4 indexed citations

7.

Schell, Christoph, Benedikt Sabass, Felix Geist, et al.. (2018). ARP3 Controls the Podocyte Architecture at the Kidney Filtration Barrier. Developmental Cell. 47(6). 741–757.e8. 35 indexed citations

8.

Bechtel‐Walz, Wibke, Martin Helmstädter, Björn Hartleben, et al.. (2013). Vps34 Deficiency Reveals the Importance of Endocytosis for Podocyte Homeostasis. Journal of the American Society of Nephrology. 24(5). 727–743. 105 indexed citations

9.

Hayden, Frederick G., Jay McAuliffe, Mónica Sousa, et al.. (1991). Acute Respiratory Viral Infections in Ambulatory Children of Urban Northeast Brazil. The Journal of Infectious Diseases. 164(2). 252–258. 77 indexed citations

10.

Geist, Felix, et al.. (1987). In vitro activity of zinc salts against human rhinoviruses. Antimicrobial Agents and Chemotherapy. 31(4). 622–624. 55 indexed citations

11.

Geist, Felix & Frederick G. Hayden. (1985). Comparative susceptibilities of strain MRC-5 human embryonic lung fibroblast cells and the Cooney strain of human fetal tonsil cells for isolation of rhinoviruses from clinical specimens. Journal of Clinical Microbiology. 22(3). 455–456. 1 indexed citations

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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