Richa Chandra

1.2k total citations · 1 hit paper
26 papers, 778 citations indexed

About

Richa Chandra is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Richa Chandra has authored 26 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Infectious Diseases. Recurrent topics in Richa Chandra's work include Malaria Research and Control (5 papers), Influenza Virus Research Studies (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Richa Chandra is often cited by papers focused on Malaria Research and Control (5 papers), Influenza Virus Research Studies (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Richa Chandra collaborates with scholars based in United States, India and Switzerland. Richa Chandra's co-authors include Pil Seok Chae, Claus J. Løland, Andrew C. Kruse, Bernadette Byrne, Brian K. Kobilka, Samuel H. Gellman, Kamil Gotfryd, Søren G. F. Rasmussen, Rohini R. Rana and Lan Guan and has published in prestigious journals such as Analytical Chemistry, Nature Reviews Drug Discovery and Nature Methods.

In The Last Decade

Richa Chandra

26 papers receiving 752 citations

Hit Papers

Maltose–neopentyl glycol (MNG) amphiphiles for solubiliza... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richa Chandra United States 13 418 140 108 93 75 26 778
Daniel Vitt Germany 20 435 1.0× 205 1.5× 44 0.4× 84 0.9× 20 0.3× 45 906
Sonia de Castro Spain 21 410 1.0× 183 1.3× 124 1.1× 134 1.4× 58 0.8× 58 1.1k
Ralph Woessner Switzerland 18 433 1.0× 87 0.6× 35 0.3× 74 0.8× 38 0.5× 62 958
Yao-Ting Huang United States 22 410 1.0× 254 1.8× 30 0.3× 165 1.8× 64 0.9× 33 1.1k
Michael Eder Austria 16 406 1.0× 85 0.6× 36 0.3× 49 0.5× 93 1.2× 59 1.0k
Horacio Reyes‐Vivas Mexico 21 497 1.2× 137 1.0× 77 0.7× 62 0.7× 25 0.3× 59 967
Agnes Rinaldo-Matthis Sweden 18 670 1.6× 99 0.7× 48 0.4× 91 1.0× 16 0.2× 35 1.0k
Elliott Nickbarg United States 15 579 1.4× 48 0.3× 77 0.7× 73 0.8× 16 0.2× 19 816
Salvatore Ferla United Kingdom 20 314 0.8× 56 0.4× 142 1.3× 183 2.0× 36 0.5× 60 1.1k
Ralph P. Miech United States 16 575 1.4× 160 1.1× 74 0.7× 109 1.2× 36 0.5× 32 980

Countries citing papers authored by Richa Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Richa Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richa Chandra

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

All Works

20 of 20 papers shown
1.
Kong, Ning, et al.. (2025). Oxidative impact on lipoprotein structure: Insights from dynamic light scattering. Biochemistry and Biophysics Reports. 41. 101945–101945. 1 indexed citations
2.
Demarest, James F., Ruxandra Draghia‐Akli, Tomáš Cihlář, et al.. (2024). Antiviral target compound profile for pandemic preparedness. Nature Reviews Drug Discovery. 24(2). 151–152. 1 indexed citations
3.
Chandra, Richa, et al.. (2023). Thoracic Spinal Anesthesia for Laparoscopic Cholecystectomy: An Observational Feasibility Study. Cureus. 15(3). e36617–e36617. 7 indexed citations
4.
Díez‐Domingo, Javier, Maurizio de Martino, Gianvincenzo Zuccotti, et al.. (2016). Safety and tolerability of cell culture-derived and egg-derived trivalent influenza vaccines in 3 to <18-year-old children and adolescents at risk of influenza-related complications. International Journal of Infectious Diseases. 49. 171–178. 6 indexed citations
5.
Kotzev, Iskren, et al.. (2016). Telbivudinevstenofovir in hepatitis B e antigen-negative chronic hepatitis B patients: OPTIMA roadmap study. World Journal of Hepatology. 8(32). 1402–1402. 2 indexed citations
6.
Chandra, Richa, et al.. (2016). Remnant lipoprotein size distribution profiling via dynamic light scattering analysis. Clinica Chimica Acta. 462. 6–14. 9 indexed citations
9.
Ervin, John, Donald M. Brandon, Eduardo Forleo‐Neto, et al.. (2015). Non-inferiority of mammalian cell-derived quadrivalent subunit influenza virus vaccines compared to trivalent subunit influenza virus vaccines in healthy children: a phase III randomized, multicenter, double-blind clinical trial. International Journal of Infectious Diseases. 41. 65–72. 26 indexed citations
11.
12.
Chae, Pil Seok, Andrew C. Kruse, Kamil Gotfryd, et al.. (2013). Novel Tripod Amphiphiles for Membrane Protein Analysis. Chemistry - A European Journal. 19(46). 15645–15651. 49 indexed citations
13.
Curatolo, William, Ping Liu, Barbara Johnson, et al.. (2011). Effects of Food on a Gastrically Degraded Drug: Azithromycin Fast-Dissolving Gelatin Capsules and HPMC Capsules. Pharmaceutical Research. 28(7). 1531–1539. 13 indexed citations
14.
Chandra, Richa, et al.. (2011). Glutathione-S-transferase M1 and T1 genes and gastric cancer: A case control study in North Indian population. Gene. 487(2). 166–169. 12 indexed citations
15.
Pereira, Marcus R., Philipp P. Henrich, Amar Bir Singh Sidhu, et al.. (2011). In VivoandIn VitroAntimalarial Properties of Azithromycin-Chloroquine Combinations That Include the Resistance Reversal Agent Amlodipine. Antimicrobial Agents and Chemotherapy. 55(7). 3115–3124. 32 indexed citations
16.
Mishra, Anjali, et al.. (2011). Glutathione S-transferase M1 and T1 polymorphism and response to neoadjuvant chemotherapy (CAF) in breast cancer patients. Surgery Today. 41(4). 471–476. 19 indexed citations
17.
Chae, Pil Seok, Søren G. F. Rasmussen, Rohini R. Rana, et al.. (2010). Maltose–neopentyl glycol (MNG) amphiphiles for solubilization, stabilization and crystallization of membrane proteins. Nature Methods. 7(12). 1003–1008. 350 indexed citations breakdown →
18.
Chandra, Richa, Ping Liu, Jeanne D. Breen, et al.. (2007). Clinical Pharmacokinetics and Gastrointestinal Tolerability of a Novel Extended-Release Microsphere Formulation of Azithromycin. Clinical Pharmacokinetics. 46(3). 247–259. 25 indexed citations
19.
Jacobs, Richard F., Holly Maples, Jacob V. Aranda, et al.. (2005). Pharmacokinetics of Intravenously Administered Azithromycin in Pediatric Patients. The Pediatric Infectious Disease Journal. 24(1). 34–39. 24 indexed citations
20.
Chandra, Richa & Ronald D. Macfarlane. (2005). Remnant Lipoprotein Density Profiling by CsBiEDTA Density Gradient Ultracentrifugation. Analytical Chemistry. 78(3). 680–685. 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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