Amar Drawid

1.0k total citations · 1 hit paper
7 papers, 809 citations indexed

About

Amar Drawid is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Amar Drawid has authored 7 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Amar Drawid's work include RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (2 papers) and NF-κB Signaling Pathways (2 papers). Amar Drawid is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (2 papers) and NF-κB Signaling Pathways (2 papers). Amar Drawid collaborates with scholars based in United States. Amar Drawid's co-authors include Mark Gerstein, Ronald Jansen, M Snyder, John A. Heyman, Anuj Kumar, Yang Liu, Seema Agarwal, Kei-Hoi Cheung, Perry L. Miller and G. Shirleen Roeder and has published in prestigious journals such as Genes & Development, Journal of Molecular Biology and Cancer Research.

In The Last Decade

Amar Drawid

7 papers receiving 782 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.

Subcellular localization of the yeast proteome

2002 597 citations Anuj Kumar, Seema Agarwal 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
Amar Drawid United States	7	735	116	72	52	31	7	809
Cristina Viéitez Germany	9	521 0.7×	128 1.1×	69 1.0×	40 0.8×	23 0.7×	10	685
Anna Y. Lee Canada	8	564 0.8×	63 0.5×	91 1.3×	68 1.3×	14 0.5×	9	662
John S. Garavelli United States	15	785 1.1×	343 3.0×	42 0.6×	25 0.5×	33 1.1×	27	980
Carsten Kettner Germany	11	504 0.7×	63 0.5×	44 0.6×	81 1.6×	22 0.7×	24	608
Andy M. Lau United Kingdom	16	522 0.7×	233 2.0×	40 0.6×	24 0.5×	17 0.5×	27	727
Marc Vidal United States	8	656 0.9×	60 0.5×	66 0.9×	44 0.8×	77 2.5×	10	743
Chantal Korostensky Switzerland	7	553 0.8×	59 0.5×	151 2.1×	133 2.6×	20 0.6×	11	703
Stephen Boulton Canada	17	539 0.7×	62 0.5×	60 0.8×	15 0.3×	94 3.0×	29	706
Niels Hulstaert Belgium	11	476 0.6×	318 2.7×	34 0.5×	26 0.5×	15 0.5×	19	589
Vincent Messier Canada	7	684 0.9×	48 0.4×	156 2.2×	30 0.6×	73 2.4×	8	750

Countries citing papers authored by Amar Drawid

Since Specialization

Citations

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

Fields of papers citing papers by Amar Drawid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amar Drawid

This figure shows the co-authorship network connecting the top 25 collaborators of Amar Drawid. A scholar is included among the top collaborators of Amar Drawid 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 Amar Drawid. Amar Drawid 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:

7 of 7 papers shown

1.

Polyakov, Valery, et al.. (2014). Enrichment Analysis for Discovering Biological Associations in Phenotypic Screens. Journal of Chemical Information and Modeling. 54(2). 377–386. 7 indexed citations

2.

Drawid, Amar, et al.. (2009). OHMM: a Hidden Markov Model accurately predicting the occupancy of a transcription factor with a self-overlapping binding motif. BMC Bioinformatics. 10(1). 208–208. 10 indexed citations

3.

Gupta, Nupur, Jeffrey J. Delrow, Amar Drawid, et al.. (2008). Repression of B-Cell Linker (BLNK) and B-Cell Adaptor for Phosphoinositide 3-Kinase (BCAP) Is Important for Lymphocyte Transformation by Rel Proteins. Cancer Research. 68(3). 808–814. 15 indexed citations

4.

Kumar, Anuj, Seema Agarwal, John A. Heyman, et al.. (2002). Subcellular localization of the yeast proteome. Genes & Development. 16(6). 707–719. 597 indexed citations breakdown →

5.

Daheshia, Massoud, Timothy M. Connolly, Amar Drawid, et al.. (2002). Molecular Characterization of Antigen‐Induced Lung Inflammation in a Murine Model of Asthma. Annals of the New York Academy of Sciences. 975(1). 148–159. 8 indexed citations

6.

Drawid, Amar & Mark Gerstein. (2000). A Bayesian system integrating expression data with sequence patterns for localizing proteins: comprehensive application to the yeast genome. Journal of Molecular Biology. 301(4). 1059–1075. 115 indexed citations

7.

Drawid, Amar, Ronald Jansen, & Mark Gerstein. (2000). Genome-wide analysis relating expression level with protein subcellular localization. Trends in Genetics. 16(10). 426–430. 57 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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