Rahul Singhvi

1.9k total citations · 1 hit paper
9 papers, 1.6k citations indexed

About

Rahul Singhvi is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Rahul Singhvi has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Rahul Singhvi's work include Enzyme Catalysis and Immobilization (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Rahul Singhvi is often cited by papers focused on Enzyme Catalysis and Immobilization (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Rahul Singhvi collaborates with scholars based in United States and India. Rahul Singhvi's co-authors include Daniel I. C. Wang, Gregory Stephanopoulos, Amit Kumar, Donald E. Ingber, Gabriel P. López, George M. Whitesides, John Auniņš, Michel Chartrain, Neal Connors and Fernando J. Muzzio and has published in prestigious journals such as Science, Journal of Chromatography A and Biotechnology and Bioengineering.

In The Last Decade

Rahul Singhvi

9 papers receiving 1.5k citations

Hit Papers

Engineering Cell Shape and Function 1994 2026 2004 2015 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Singhvi United States 8 992 460 363 225 224 9 1.6k
W. Monty Reichert United States 16 576 0.6× 261 0.6× 282 0.8× 131 0.6× 228 1.0× 23 1.3k
Hossein Agheli Sweden 18 1.1k 1.1× 343 0.7× 240 0.7× 301 1.3× 301 1.3× 21 1.5k
Joachim P. Spatz Germany 29 855 0.9× 350 0.8× 722 2.0× 267 1.2× 318 1.4× 56 2.4k
Mónica López‐García Germany 14 703 0.7× 502 1.1× 243 0.7× 226 1.0× 202 0.9× 18 1.2k
Junsang Doh South Korea 32 1.5k 1.5× 303 0.7× 899 2.5× 219 1.0× 277 1.2× 112 3.2k
Alexander Fuhrmann United States 18 899 0.9× 739 1.6× 473 1.3× 85 0.4× 219 1.0× 25 1.8k
Jost W. Lussi Switzerland 8 556 0.6× 626 1.4× 292 0.8× 142 0.6× 112 0.5× 9 1.3k
Didier Falconnet Switzerland 15 1.4k 1.4× 244 0.5× 599 1.7× 383 1.7× 202 0.9× 17 2.0k
Mandana Veiseh United States 16 576 0.6× 331 0.7× 728 2.0× 140 0.6× 133 0.6× 20 1.5k
Alexandra M. Greiner Germany 17 666 0.7× 450 1.0× 299 0.8× 96 0.4× 152 0.7× 24 1.3k

Countries citing papers authored by Rahul Singhvi

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Singhvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Singhvi

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

All Works

9 of 9 papers shown
1.
Kottam, Nagaraju, et al.. (2023). Esterification of levulinic acid to butyl levulinate over TiO2/WO3/SO42−: optimization and kinetic study. Biomass Conversion and Biorefinery. 14(15). 18297–18311. 7 indexed citations
2.
Muzzio, Fernando J., et al.. (2000). Computational and experimental investigation of flow and fluid mixing in the roller bottle bioreactor. Biotechnology and Bioengineering. 70(2). 117–130. 19 indexed citations
3.
Buckland, Barry C., Stephen W. Drew, Neal Connors, et al.. (1999). Microbial Conversion of Indene to Indandiol: A Key Intermediate in the Synthesis of CRIXIVAN. Metabolic Engineering. 1(1). 63–74. 58 indexed citations
4.
Connors, Neal, Michel Chartrain, Rahul Singhvi, et al.. (1997). Conversion of indene to cis -(1 S ),(2 R )-indandiol by mutants of Pseudomonas putida F1. Journal of Industrial Microbiology & Biotechnology. 18(6). 353–359. 26 indexed citations
5.
Singhvi, Rahul, et al.. (1996). Assessment of virus infection in cultured cells using metabolic monitoring. Cytotechnology. 22(1-3). 79–85. 15 indexed citations
6.
Singhvi, Rahul, Gregory Stephanopoulos, & Daniel I. C. Wang. (1994). Effects of substratum morphology on cell physiology. Biotechnology and Bioengineering. 43(8). 764–771. 238 indexed citations
7.
Regnier, Fred E., et al.. (1994). Process monitoring of the production of γ-interferon in recombinant chinese hamster ovary cells. Journal of Chromatography A. 659(2). 317–320. 8 indexed citations
8.
Singhvi, Rahul, Amit Kumar, Gabriel P. López, et al.. (1994). Engineering Cell Shape and Function. Science. 264(5159). 696–698. 1185 indexed citations breakdown →
9.
Singhvi, Rahul, Gregory Stephanopoulos, & Daniel I. C. Wang. (1991). Effect of Substratum Morphology on Animal Cell Adhesion and Behavior. MRS Proceedings. 252. 6 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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