Harish Nagarajan

4.2k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Harish Nagarajan is a scholar working on Molecular Biology, Ecology and Environmental Engineering. According to data from OpenAlex, Harish Nagarajan has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Ecology and 5 papers in Environmental Engineering. Recurrent topics in Harish Nagarajan's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Microbial Community Ecology and Physiology (5 papers) and Microbial Fuel Cells and Bioremediation (5 papers). Harish Nagarajan is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Microbial Community Ecology and Physiology (5 papers) and Microbial Fuel Cells and Bioremediation (5 papers). Harish Nagarajan collaborates with scholars based in United States, Denmark and Taiwan. Harish Nagarajan's co-authors include Bernhard Ø. Palsson, Nathan E. Lewis, Karsten Zengler, Richard L. Gallo, Teruaki Nakatsuji, Hsin‐I Chiang, Derek R. Lovley, Mallory Embree, Ali Ebrahim and Haythem Latif and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Harish Nagarajan

16 papers receiving 1.8k 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.

Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods

2012 587 citations Nathan E. Lewis, Harish Nagarajan et al. Nature Reviews Microbiology profile →

Peers

Harish Nagarajan

DERMA

GENET

ECOLO

Arnim Wiezer Germany

Soojin Jang South Korea

Penghui He China

Boguslaw Lupa United States

Silke Schmidt Germany

Hiromi Kubota Japan

Cristal Zúñiga United States

Gláucia Maria Machado‐Santelli Brazil

She‐pin Hung United States

Claudio Palleschi Italy

Arnim Wiezer Germany

Harish Nagarajan

1.3k ×1.0

393 ×1.0

164 ×0.8

DERMA

170 ×0.8

GENET

342 ×2.1

ECOLO

Citations per year, relative to Harish Nagarajan Harish Nagarajan (= 1×) peers Arnim Wiezer

Countries citing papers authored by Harish Nagarajan

Since Specialization

Citations

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

Fields of papers citing papers by Harish Nagarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Nagarajan

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

All Works

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16 of 16 papers shown

Embree, Mallory, et al.. (2016). Efficient Synergistic Single-Cell Genome Assembly. Frontiers in Bioengineering and Biotechnology. 4. 42–42. 3 indexed citations

Bordbar, Aarash, Harish Nagarajan, Nathan E. Lewis, et al.. (2014). Minimal metabolic pathway structure is consistent with associated biomolecular interactions. Molecular Systems Biology. 10(7). 737–737. 33 indexed citations

Feist, Adam M., Harish Nagarajan, Amelia‐Elena Rotaru, et al.. (2014). Constraint-Based Modeling of Carbon Fixation and the Energetics of Electron Transfer in Geobacter metallireducens. PLoS Computational Biology. 10(4). e1003575–e1003575. 33 indexed citations

Federowicz, Stephen, Donghyuk Kim, Ali Ebrahim, et al.. (2014). Determining the Control Circuitry of Redox Metabolism at the Genome-Scale. PLoS Genetics. 10(4). e1004264–e1004264. 53 indexed citations

Embree, Mallory, Yu Qiu, Harish Nagarajan, et al.. (2014). The Iron Stimulon and Fur Regulon of Geobacter sulfurreducens and Their Role in Energy Metabolism. Applied and Environmental Microbiology. 80(9). 2918–2927. 29 indexed citations

Nagarajan, Harish, Mallory Embree, Amelia‐Elena Rotaru, et al.. (2013). Characterization and modelling of interspecies electron transfer mechanisms and microbial community dynamics of a syntrophic association. Nature Communications. 4(1). 2809–2809. 109 indexed citations

Latif, Haythem, Joshua A. Lerman, Vasiliy A. Portnoy, et al.. (2013). The Genome Organization of Thermotoga maritima Reflects Its Lifestyle. PLoS Genetics. 9(4). e1003485–e1003485. 37 indexed citations

Qiu, Yu, Harish Nagarajan, Mallory Embree, et al.. (2013). Characterizing the interplay between multiple levels of organization within bacterial sigma factor regulatory networks. Nature Communications. 4(1). 1755–1755. 15 indexed citations

Nakatsuji, Teruaki, et al.. (2013). The microbiome extends to subepidermal compartments of normal skin. Nature Communications. 4(1). 1431–1431. 329 indexed citations

10.

Nagarajan, Harish, Merve Şahin, Juan Nogales, et al.. (2013). Characterizing acetogenic metabolism using a genome-scale metabolic reconstruction of Clostridium ljungdahlii. Microbial Cell Factories. 12(1). 118–118. 134 indexed citations

11.

Embree, Mallory, et al.. (2013). Single-cell genome and metatranscriptome sequencing reveal metabolic interactions of an alkane-degrading methanogenic community. The ISME Journal. 8(4). 757–767. 97 indexed citations

12.

Lewis, Nathan E., Harish Nagarajan, & Bernhard Ø. Palsson. (2012). Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods. Nature Reviews Microbiology. 10(4). 291–305. 587 indexed citations breakdown →

13.

Kim, Donghyuk, Yu Qiu, Harish Nagarajan, et al.. (2012). Comparative Analysis of Regulatory Elements between Escherichia coli and Klebsiella pneumoniae by Genome-Wide Transcription Start Site Profiling. PLoS Genetics. 8(8). e1002867–e1002867. 118 indexed citations

14.

Charusanti, Pep, Nicole L. Fong, Harish Nagarajan, et al.. (2012). Exploiting Adaptive Laboratory Evolution of Streptomyces clavuligerus for Antibiotic Discovery and Overproduction. PLoS ONE. 7(3). e33727–e33727. 67 indexed citations

15.

Baycin‐Hizal, Deniz, David L. Tabb, Raghothama Chaerkady, et al.. (2012). Proteomic Analysis of Chinese Hamster Ovary Cells. Journal of Proteome Research. 11(11). 5265–5276. 140 indexed citations

16.

Nagarajan, Harish, Jessica Butler, Anna Klimes, et al.. (2010). De Novo Assembly of the Complete Genome of an Enhanced Electricity-Producing Variant of Geobacter sulfurreducens Using Only Short Reads. PLoS ONE. 5(6). e10922–e10922. 29 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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