Michael Gerdes

1.7k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Michael Gerdes is a scholar working on Molecular Biology, Biophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Gerdes has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Gerdes's work include Ion channel regulation and function (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Cell death mechanisms and regulation (2 papers). Michael Gerdes is often cited by papers focused on Ion channel regulation and function (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Cell death mechanisms and regulation (2 papers). Michael Gerdes collaborates with scholars based in United States, United Kingdom and India. Michael Gerdes's co-authors include Jeanne B. Lawrence, Mark E. Ewen, Richard Eckner, David M. Livingston, James A. DeCaprio, David Newsome, Phillip T. Moen, Stuart H. Yuspa, Michihiro Mutoh and Kwang S. Suh and has published in prestigious journals such as Genes & Development, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Michael Gerdes

15 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular cloning and functional analysis of the adenovirus E1A-associated 300-kD protein (p300) reveals a protein with properties of a transcriptional adaptor.

1994 930 citations Richard Eckner, Mark E. Ewen et al. Genes & Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Gerdes United States	11	1.0k	355	341	188	174	15	1.4k
Greg Schuler United States	4	1.3k 1.2×	194 0.5×	180 0.5×	109 0.6×	159 0.9×	4	1.7k
Peyton Greenside United States	11	1.3k 1.3×	208 0.6×	238 0.7×	204 1.1×	312 1.8×	13	1.6k
Richard Chahwan Switzerland	18	1.3k 1.2×	136 0.4×	411 1.2×	192 1.0×	212 1.2×	33	1.5k
Yorick Post Netherlands	8	1.3k 1.2×	232 0.7×	240 0.7×	105 0.6×	149 0.9×	16	1.6k
Deborah Wilsker United States	13	1.4k 1.3×	128 0.4×	474 1.4×	213 1.1×	164 0.9×	41	1.7k
Luz García‐Alonso United Kingdom	15	1.1k 1.1×	161 0.5×	156 0.5×	164 0.9×	215 1.2×	23	1.5k
Maciej Kotecki United States	13	1.0k 1.0×	272 0.8×	207 0.6×	165 0.9×	130 0.7×	23	1.4k
Alexis Verger France	18	1.1k 1.1×	191 0.5×	197 0.6×	144 0.8×	145 0.8×	34	1.4k
Nicholas W. Hughes United States	7	1.5k 1.4×	208 0.6×	205 0.6×	96 0.5×	191 1.1×	10	1.6k

Countries citing papers authored by Michael Gerdes

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gerdes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gerdes

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Badve, Sunil, Sanghee Cho, Yesim Gökmen‐Polar, et al.. (2021). Multi-protein spatial signatures in ductal carcinoma in situ (DCIS) of breast. British Journal of Cancer. 124(6). 1150–1159. 10 indexed citations

Santamaría-Pang, Alberto, Jens Rittscher, Michael Gerdes, & Dirk Padfield. (2015). Cell segmentation and classification by hierarchical supervised shape ranking. 1296–1299. 10 indexed citations

King, Kathryn E., et al.. (2013). Dysregulated ΔNp63α negatively regulates the maspin promoter in keratinocytes via blocking endogenous p73 binding. Molecular Carcinogenesis. 53(9). 698–710. 6 indexed citations

Rittscher, Jens, Dirk Padfield, Ali Can, et al.. (2011). Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms. 21. 1712–1716. 1 indexed citations

Stepp, Mary Ann, Sonali Pal‐Ghosh, Gauri Tadvalkar, et al.. (2010). Loss of syndecan‐1 is associated with malignant conversion in skin carcinogenesis. Molecular Carcinogenesis. 49(4). 363–373. 19 indexed citations

Gerdes, Michael, et al.. (2010). Autofluorescence Removal by Non-Negative Matrix Factorization. IEEE Transactions on Image Processing. 20(4). 1085–1093. 31 indexed citations

Can, Ali, Musodiq Bello, H. E. Cline, et al.. (2008). Multi-modal imaging of histological tissue sections. 288–291. 16 indexed citations

Ginty, Fiona, Sudeshna Adak, Ali Can, et al.. (2008). The Relative Distribution of Membranous and Cytoplasmic Met Is a Prognostic Indicator in Stage I and II Colon Cancer. Clinical Cancer Research. 14(12). 3814–3822. 39 indexed citations

Suh, Kwang S., Michihiro Mutoh, Michael Gerdes, & Stuart H. Yuspa. (2005). CLIC4, an Intracellular Chloride Channel Protein, Is a Novel Molecular Target for Cancer Therapy. Journal of Investigative Dermatology Symposium Proceedings. 10(2). 105–109. 48 indexed citations

10.

Suh, Kwang S., Michihiro Mutoh, Michael Gerdes, et al.. (2005). Antisense Suppression of the Chloride Intracellular Channel Family Induces Apoptosis, Enhances Tumor Necrosis Factor α-Induced Apoptosis, and Inhibits Tumor Growth. Cancer Research. 65(2). 562–571. 51 indexed citations

11.

Suh, Kwang S., Michihiro Mutoh, Michael Gerdes, et al.. (2005). Antisense suppression of the chloride intracellular channel family induces apoptosis, enhances tumor necrosis factor {alpha}-induced apoptosis, and inhibits tumor growth.. PubMed. 65(2). 562–71. 55 indexed citations

12.

Cataisson, Christophe, Elizabeth Joseloff, Rodolfo Murillas, et al.. (2003). Activation of Cutaneous Protein Kinase Cα Induces Keratinocyte Apoptosis and Intraepidermal Inflammation by Independent Signaling Pathways. The Journal of Immunology. 171(5). 2703–2713. 64 indexed citations

13.

Dobkin, David S., Ronald D. Gettinger, & Michael Gerdes. (1995). Springtime movements, boost use, and foraging activity of Townsend's big-eared bat ( Plecotus townsendii ) in central Oregon. The Great Basin naturalist. 55(4). 3. 9 indexed citations

14.

Gerdes, Michael, et al.. (1994). Dynamic changes in the higher-level chromatin organization of specific sequences revealed by in situ hybridization to nuclear halos.. The Journal of Cell Biology. 126(2). 289–304. 135 indexed citations

15.

Eckner, Richard, Mark E. Ewen, David Newsome, et al.. (1994). Molecular cloning and functional analysis of the adenovirus E1A-associated 300-kD protein (p300) reveals a protein with properties of a transcriptional adaptor.. Genes & Development. 8(8). 869–884. 930 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact