Martin Neeb

612 total citations
10 papers, 429 citations indexed

About

Martin Neeb is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Martin Neeb has authored 10 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in Martin Neeb's work include interferon and immune responses (2 papers), Pancreatic function and diabetes (2 papers) and NF-κB Signaling Pathways (2 papers). Martin Neeb is often cited by papers focused on interferon and immune responses (2 papers), Pancreatic function and diabetes (2 papers) and NF-κB Signaling Pathways (2 papers). Martin Neeb collaborates with scholars based in Switzerland, Germany and United States. Martin Neeb's co-authors include Ulrich Certa, Giuliana Ferrari, Elisa Bono, Mauro Biffi, Francesco Sinigaglia, Sheng-Yung Chang, Lars Rogge, Elisabetta Bianchi, Heather Alexander and L. Sinigaglia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Martin Neeb

10 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin Neeb Switzerland 9 220 150 85 40 35 10 429
Olga P. Ryabinina United States 9 242 1.1× 103 0.7× 47 0.6× 47 1.2× 13 0.4× 12 396
Karen J. Vincent United Kingdom 7 394 1.8× 81 0.5× 56 0.7× 4 0.1× 56 1.6× 7 601
Maciej B. Olszewski Poland 13 273 1.2× 141 0.9× 152 1.8× 11 0.3× 7 0.2× 15 492
Jüri Habicht Germany 10 207 0.9× 295 2.0× 39 0.5× 20 0.5× 16 0.5× 18 515
W. Merlevede Belgium 9 715 3.3× 37 0.2× 137 1.6× 62 1.6× 19 0.5× 12 862
Cate Livingstone United Kingdom 3 417 1.9× 62 0.4× 106 1.2× 5 0.1× 33 0.9× 5 535
Simone Schleeger Switzerland 6 216 1.0× 64 0.4× 63 0.7× 9 0.2× 21 0.6× 6 337
D. M. Driscoll United States 14 446 2.0× 182 1.2× 23 0.3× 6 0.1× 13 0.4× 19 767
R H Pang United States 10 191 0.9× 201 1.3× 78 0.9× 4 0.1× 35 1.0× 19 461
H Nakajima Japan 8 152 0.7× 190 1.3× 86 1.0× 2 0.1× 16 0.5× 18 389

Countries citing papers authored by Martin Neeb

Since Specialization
Citations

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

Fields of papers citing papers by Martin Neeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Neeb

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Neeb. A scholar is included among the top collaborators of Martin Neeb 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 Martin Neeb. Martin Neeb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wertz, Karin, Nicole Seifert, Georges Riss, et al.. (2005). β-Carotene Interferes with Ultraviolet Light A-Induced Gene Expression by Multiple Pathways. Journal of Investigative Dermatology. 124(2). 428–434. 57 indexed citations
2.
Michaut, Lydia, Susanne Flister, Martin Neeb, et al.. (2003). Analysis of the eye developmental pathway in Drosophila using DNA microarrays. Proceedings of the National Academy of Sciences. 100(7). 4024–4029. 68 indexed citations
3.
Yang, Yaning, Josephine Hoh, Clemens Broger, et al.. (2003). Statistical Methods for Analyzing Microarray Feature Data with Replications. Journal of Computational Biology. 10(2). 157–169. 15 indexed citations
5.
Dubnau, Josh, Ulrich Certa, Clemens Broger, et al.. (2001). Functional genomics of long-term memory. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 25. 1313. 1 indexed citations
6.
Brem, Reto, et al.. (2001). Global analysis of differential gene expression after transformation with the v-H-ras oncogene in a murine tumor model. Oncogene. 20(22). 2854–2858. 25 indexed citations
7.
Rogge, Lars, Elisabetta Bianchi, Mauro Biffi, et al.. (2000). Transcript imaging of the development of human T helper cells using oligonucleotide arrays. Nature Genetics. 25(1). 96–101. 201 indexed citations
8.
Neeb, Martin, et al.. (1993). High yield fermentation and purification of Tendamistat disulphide analogues secreted by Streptomyces lividans. Applied Microbiology and Biotechnology. 38(6). 719–727. 13 indexed citations
9.
Neeb, Martin, Ulrike Kunz, & Hermann Koepsell. (1987). Identification of D-glucose-binding polypeptides which are components of the renal Na+-D-glucose cotransporter.. Journal of Biological Chemistry. 262(22). 10718–10727. 16 indexed citations
10.
Neeb, Martin, H. Fasold, & Hermann Koepsell. (1985). Identification of the D‐glucose binding polypeptide of the renal Na+‐D‐glucose cotransporter with a covalently binding D‐glucose analog. FEBS Letters. 182(1). 139–144. 14 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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