Devayani P. Bhave

466 total citations
8 papers, 361 citations indexed

About

Devayani P. Bhave is a scholar working on Oncology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Devayani P. Bhave has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Devayani P. Bhave's work include Metal complexes synthesis and properties (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Biochemical and Molecular Research (2 papers). Devayani P. Bhave is often cited by papers focused on Metal complexes synthesis and properties (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Biochemical and Molecular Research (2 papers). Devayani P. Bhave collaborates with scholars based in United States, Italy and India. Devayani P. Bhave's co-authors include Kate S. Carroll, Wilson B. Muse, Amit Singh, Ashima Bhaskar, Mansi Mehta, Pallavi Chandra, Pankti Parikh, Dhiraj Kumar, Jiyoung A. Hong and Louis Noodleman and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Medicinal Chemistry.

In The Last Decade

Devayani P. Bhave

8 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Devayani P. Bhave United States	7	204	134	126	59	40	8	361
Monique J. Williams South Africa	13	227 1.1×	151 1.1×	157 1.2×	16 0.3×	42 1.1×	24	448
Linh X. Doan United Kingdom	9	221 1.1×	39 0.3×	88 0.7×	29 0.5×	13 0.3×	9	352
Meera Gurumurthy Singapore	11	277 1.4×	185 1.4×	134 1.1×	27 0.5×	33 0.8×	21	426
Isha Soni India	9	140 0.7×	69 0.5×	57 0.5×	28 0.5×	24 0.6×	15	360
Schara Safarian Germany	10	325 1.6×	53 0.4×	28 0.2×	25 0.4×	29 0.7×	17	443
Karmen Čondić‐Jurkić Australia	10	189 0.9×	49 0.4×	27 0.2×	81 1.4×	76 1.9×	14	353
Gopal R. Bommineni United States	13	296 1.5×	151 1.1×	52 0.4×	45 0.8×	74 1.9×	18	533
Alfredo J. Guerra United States	11	150 0.7×	43 0.3×	47 0.4×	26 0.4×	19 0.5×	17	373
Weixuan Yu United States	10	214 1.0×	105 0.8×	36 0.3×	23 0.4×	53 1.3×	17	386
Yun‐Ming Lin United States	10	314 1.5×	40 0.3×	36 0.3×	48 0.8×	115 2.9×	17	571

Countries citing papers authored by Devayani P. Bhave

Since Specialization

Citations

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

Fields of papers citing papers by Devayani P. Bhave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devayani P. Bhave. 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 Devayani P. Bhave. The network helps show where Devayani P. Bhave may publish in the future.

Co-authorship network of co-authors of Devayani P. Bhave

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

All Works

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8 of 8 papers shown

Pyke, Rachel Marty, Dattatreya Mellacheruvu, Charles W. Abbott, et al.. (2022). A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity. Nature Communications. 13(1). 1925–1925. 18 indexed citations

Li, Simin, Devayani P. Bhave, Thomas V. Riera, et al.. (2015). Quantitative Analysis of Receptor Tyrosine Kinase-Effector Coupling at Functionally Relevant Stimulus Levels. Journal of Biological Chemistry. 290(16). 10018–10036. 5 indexed citations

Bhaskar, Ashima, Mansi Mehta, Pankti Parikh, et al.. (2014). Reengineering Redox Sensitive GFP to Measure Mycothiol Redox Potential of Mycobacterium tuberculosis during Infection. PLoS Pathogens. 10(1). e1003902–e1003902. 148 indexed citations

Bhave, Devayani P., Wen‐Ge Han, Samuel Pazicni, et al.. (2011). Geometric and Electrostatic Study of the [4Fe-4S] Cluster of Adenosine-5′-Phosphosulfate Reductase from Broken Symmetry Density Functional Calculations and Extended X-ray Absorption Fine Structure Spectroscopy. Inorganic Chemistry. 50(14). 6610–6625. 27 indexed citations

Bhave, Devayani P., et al.. (2011). Iron–Sulfur Cluster Engineering Provides Insight into the Evolution of Substrate Specificity among Sulfonucleotide Reductases. ACS Chemical Biology. 7(2). 306–315. 9 indexed citations

Bhave, Devayani P., Jiyoung A. Hong, Michael Lee, et al.. (2010). Spectroscopic Studies on the [4Fe-4S] Cluster in Adenosine 5′-Phosphosulfate Reductase from Mycobacterium tuberculosis. Journal of Biological Chemistry. 286(2). 1216–1226. 15 indexed citations

Hong, Jiyoung A., Devayani P. Bhave, & Kate S. Carroll. (2009). Identification of Critical Ligand Binding Determinants in Mycobacterium tuberculosis Adenosine-5′-phosphosulfate Reductase. Journal of Medicinal Chemistry. 52(17). 5485–5495. 24 indexed citations

Bhave, Devayani P., Wilson B. Muse, & Kate S. Carroll. (2007). Drug Targets in Mycobacterial Sulfur Metabolism. Infectious Disorders - Drug Targets. 7(2). 140–158. 115 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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