M. Schramm

5.0k total citations · 1 hit paper
66 papers, 3.9k citations indexed

About

M. Schramm is a scholar working on Molecular Biology, Ecology and Physiology. According to data from OpenAlex, M. Schramm has authored 66 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Ecology and 12 papers in Physiology. Recurrent topics in M. Schramm's work include Receptor Mechanisms and Signaling (10 papers), Salivary Gland Disorders and Functions (6 papers) and Lipid Membrane Structure and Behavior (6 papers). M. Schramm is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Salivary Gland Disorders and Functions (6 papers) and Lipid Membrane Structure and Behavior (6 papers). M. Schramm collaborates with scholars based in Israel, Germany and United States. M. Schramm's co-authors include S. Hestrin, Joseph Orly, Sarah Eimerl, Martin Rodbell, Zvi Selinger, E. Costa, Mira Korner, E. Racker, Avner Bdolah and Karl‐Josef Dietz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

M. Schramm

64 papers receiving 3.6k citations

Hit Papers

Synthesis of cellulose by Acetobacter xylinum. 2. Prepara... 1954 2026 1978 2002 1954 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Schramm Israel 33 1.5k 1.2k 748 700 542 66 3.9k
Peter J. Bechtel United States 47 3.3k 2.2× 736 0.6× 230 0.3× 421 0.6× 311 0.6× 234 7.6k
Wolfgang R. Streit Germany 52 4.5k 3.1× 1.0k 0.9× 1.1k 1.4× 1.3k 1.8× 1.1k 2.1× 205 11.1k
Kenji Sakai Japan 33 1.5k 1.0× 247 0.2× 254 0.3× 696 1.0× 218 0.4× 206 3.8k
Jie Shen China 46 4.2k 2.9× 402 0.3× 1.6k 2.2× 741 1.1× 761 1.4× 236 7.4k
Toshiyuki Shibata Japan 33 2.8k 1.9× 143 0.1× 267 0.4× 438 0.6× 280 0.5× 141 4.8k
Motoaki Sano Japan 22 1.6k 1.1× 530 0.5× 625 0.8× 399 0.6× 146 0.3× 68 3.4k
Xinyu Zhang China 35 1.2k 0.8× 385 0.3× 216 0.3× 944 1.3× 414 0.8× 218 3.7k
Wei Xu China 49 1.7k 1.2× 268 0.2× 353 0.5× 188 0.3× 266 0.5× 214 8.0k
Stephen P. Mayfield United States 61 7.5k 5.0× 272 0.2× 1.8k 2.4× 1.0k 1.5× 1.4k 2.5× 159 12.2k
Zhihui Yang China 32 1.6k 1.1× 174 0.2× 459 0.6× 369 0.5× 250 0.5× 105 3.7k

Countries citing papers authored by M. Schramm

Since Specialization
Citations

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

Fields of papers citing papers by M. Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Schramm

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

All Works

20 of 20 papers shown
1.
Wagner, Wolfgang, Vahid Freeman, Senmao Cao, et al.. (2020). DATA PROCESSING ARCHITECTURES FOR MONITORING FLOODS USING SENTINEL-1. SHILAP Revista de lepidopterología. V-3-2020. 641–648. 15 indexed citations
2.
Pause, Marion, et al.. (2020). Regionalization of Coarse Scale Soil Moisture Products Using Fine-Scale Vegetation Indices—Prospects and Case Study. Remote Sensing. 12(3). 551–551. 7 indexed citations
3.
Pebesma, Edzer, Pierre Soille, Noel Gorelick, et al.. (2018). openEO: an open API for cloud-based big Earth Observation processing platforms. EGU General Assembly Conference Abstracts. 4957. 3 indexed citations
4.
Hoch, Werner, et al.. (1992). Modulation by NMDA Receptor Antagonists of Glycine Receptor Isoform Expression in Cultured Spinal Cord Neurons. European Journal of Neuroscience. 4(5). 389–395. 13 indexed citations
5.
Dietz, Karl‐Josef, et al.. (1992). Characterization of the epidermis from barley primary leaves. Planta. 187(4). 431–437. 47 indexed citations
6.
Dietz, Karl‐Josef, et al.. (1992). Characterization of the epidermis from barley primary leaves. Planta. 187(4). 425–430. 42 indexed citations
7.
Bechem, Martin & M. Schramm. (1986). The effects of bay K 8644 in voltage clamp studies: Indications for acommon molecular mode of action of Ca-Agonist and Ca-Antagonist dihydropyridines. Journal of Molecular and Cellular Cardiology. 18. 12–12. 1 indexed citations
8.
Nedivi, Elly & M. Schramm. (1984). The beta-adrenergic receptor survives solubilization in deoxycholate while forming a stable association with the agonist.. Journal of Biological Chemistry. 259(9). 5803–5808. 14 indexed citations
9.
Kirilovsky, Jorge & M. Schramm. (1983). Delipidation of a beta-adrenergic receptor preparation and reconstitution by specific lipids.. Journal of Biological Chemistry. 258(11). 6841–6849. 66 indexed citations
10.
Schramm, M., Joseph Orly, Sarah Eimerl, & Mira Korner. (1977). Coupling of hormone receptors to adenylate cyclase of different cells by cell fusion. Nature. 268(5618). 310–313. 70 indexed citations
11.
Schramm, M.. (1976). Blocking of catecholamine activation of adenylate cyclase by N, N'dicyclohexyl carbodiimide in turkey erythrocytes.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2(5). 347–58. 3 indexed citations
12.
Sharoni, Yoav, Sarah Eimerl, & M. Schramm. (1976). Secretion of old versus new exportable protein in rat parotid slics. Control by neurotransmitters.. The Journal of Cell Biology. 71(1). 107–122. 56 indexed citations
13.
Wallach, David, Norman Kirshner, & M. Schramm. (1975). Non-parallel transport of membrane proteins and content proteins during assembly of the secretory granule in rat parotid gland. Biochimica et Biophysica Acta (BBA) - Biomembranes. 375(1). 87–105. 60 indexed citations
14.
Batzri, Shmuel, Abraham Amsterdam, Zvi Selinger, Itzhak Ohad, & M. Schramm. (1971). Epinephrine-Induced Vacuole Formation in Parotid Gland Cells and Its Independence of the Secretory Process. Proceedings of the National Academy of Sciences. 68(1). 121–123. 32 indexed citations
15.
Schramm, M.. (1967). Secretion of Enzymes and Other Macromolecules. Annual Review of Biochemistry. 36(1). 307–320. 84 indexed citations
16.
Bdolah, Avner, et al.. (1967). The Mechanism of Enzyme Secretion by the Cell. European Journal of Biochemistry. 1(1). 96–101. 157 indexed citations
17.
Levitzki, Alexander, J Heller, & M. Schramm. (1964). Specific precipitation of enzyme by its substrate: the α-amylase-macrodextrin complex. Biochimica et Biophysica Acta (BBA) - Specialized Section on Enzymological Subjects. 81(1). 101–107. 28 indexed citations
19.
Schramm, M., et al.. (1957). Role of Hexose Phosphate in Synthesis of Cellulose by Acetobacter Xylinum. Nature. 179(4549). 28–29. 39 indexed citations
20.
Hestrin, S. & M. Schramm. (1954). Synthesis of cellulose by Acetobacter xylinum. 2. Preparation of freeze-dried cells capable of polymerizing glucose to cellulose. Biochemical Journal. 58(2). 345–352. 984 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.

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