M. Date

2.2k total citations · 1 hit paper
6 papers, 282 citations indexed

About

M. Date is a scholar working on Small Animals, Molecular Biology and Dermatology. According to data from OpenAlex, M. Date has authored 6 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Small Animals, 2 papers in Molecular Biology and 2 papers in Dermatology. Recurrent topics in M. Date's work include Animal testing and alternatives (2 papers), Chemistry and Chemical Engineering (2 papers) and Contact Dermatitis and Allergies (2 papers). M. Date is often cited by papers focused on Animal testing and alternatives (2 papers), Chemistry and Chemical Engineering (2 papers) and Contact Dermatitis and Allergies (2 papers). M. Date collaborates with scholars based in United States, Switzerland and Germany. M. Date's co-authors include Margarita Davydova, Pranava K. Sivakumar, Brian N. Dominy, S. Parkin, Banabir Pal, Yang Zhang, Noah F. Q. Yuan, Anirban Chakraborty, Niels B. M. Schröter and Avanindra K. Pandeya and has published in prestigious journals such as Nature Physics, Chemical Research in Toxicology and ACS Chemical Biology.

In The Last Decade

M. Date

6 papers receiving 280 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.

Josephson diode effect from Cooper pair momentum in a topological semimetal

2022 188 citations Banabir Pal, Anirban Chakraborty et al. Nature Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Date United States	6	163	131	51	42	39	6	282
Zhen Zheng China	11	310 1.9×	118 0.9×	50 1.0×	13 0.3×	31 0.8×	34	381
Rong-Qiang He China	9	183 1.1×	196 1.5×	64 1.3×	10 0.2×	114 2.9×	24	374
Tie-Feng Fang China	12	286 1.8×	90 0.7×	125 2.5×	13 0.3×	16 0.4×	41	342
D. J. J. Marchand Canada	8	181 1.1×	149 1.1×	40 0.8×	4 0.1×	59 1.5×	10	242
Hao-Jia Wu China	10	177 1.1×	210 1.6×	186 3.6×	9 0.2×	96 2.5×	14	360
Natanael C. Costa Brazil	12	224 1.4×	270 2.1×	61 1.2×	4 0.1×	118 3.0×	34	371
Adele Naddeo Italy	8	114 0.7×	58 0.4×	33 0.6×	4 0.1×	29 0.7×	57	199
Haiying Wang China	9	71 0.4×	32 0.2×	82 1.6×	12 0.3×	62 1.6×	32	257
Ryan Levy United States	8	145 0.9×	148 1.1×	39 0.8×	3 0.1×	73 1.9×	10	269

Countries citing papers authored by M. Date

Since Specialization

Citations

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

Fields of papers citing papers by M. Date

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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6 of 6 papers shown

1.

Pal, Banabir, Anirban Chakraborty, Pranava K. Sivakumar, et al.. (2022). Josephson diode effect from Cooper pair momentum in a topological semimetal. Nature Physics. 18(10). 1228–1233. 188 indexed citations breakdown →

2.

Moustakas, H., M. Date, M. Kumar, et al.. (2022). An End Point-Specific Framework for Read-Across Analog Selection for Human Health Effects. Chemical Research in Toxicology. 35(12). 2324–2334. 11 indexed citations

3.

Date, M., Devin O’Brien, D. Botelho, et al.. (2020). Clustering a Chemical Inventory for Safety Assessment of Fragrance Ingredients: Identifying Read-Across Analogs to Address Data Gaps. Chemical Research in Toxicology. 33(7). 1709–1718. 24 indexed citations

4.

Firman, James W., et al.. (2018). Read-across of 90-day rodent repeated-dose toxicity: A case study for selected simple aryl alcohol alkyl carboxylic acid esters. Computational Toxicology. 7. 1–8. 7 indexed citations

5.

Hammoudeh, Dalia I., M. Date, Mi‐Kyung Yun, et al.. (2014). Identification and Characterization of an Allosteric Inhibitory Site on Dihydropteroate Synthase. ACS Chemical Biology. 9(6). 1294–1302. 26 indexed citations

6.

Date, M. & Brian N. Dominy. (2013). Modeling the Influence of Salt on the Hydrophobic Effect and Protein Fold Stability. Communications in Computational Physics. 13(1). 90–106. 26 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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