Prasanthi Chappa

456 total citations
10 papers, 341 citations indexed

About

Prasanthi Chappa is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Prasanthi Chappa has authored 10 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Prasanthi Chappa's work include Hemoglobinopathies and Related Disorders (7 papers), Erythrocyte Function and Pathophysiology (3 papers) and Iron Metabolism and Disorders (2 papers). Prasanthi Chappa is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Erythrocyte Function and Pathophysiology (3 papers) and Iron Metabolism and Disorders (2 papers). Prasanthi Chappa collaborates with scholars based in United States. Prasanthi Chappa's co-authors include David R. Archer, Solomon F. Ofori‐Acquah, Samit Ghosh, Olufolake Adisa, Fang Tan, Kenneth I. Ataga, Kavita Natarajan, Rima S. Zahr, Lou Ann S. Brown and Ravindra Kolhe and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Nature Biotechnology.

In The Last Decade

Prasanthi Chappa

10 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prasanthi Chappa United States	6	188	150	133	95	47	10	341
Monika Horváthová Czechia	11	146 0.8×	140 0.9×	119 0.9×	112 1.2×	50 1.1×	35	337
Imo J. Akpan United States	8	236 1.3×	168 1.1×	255 1.9×	134 1.4×	18 0.4×	21	475
Carmelo Piscopo Italy	8	127 0.7×	66 0.4×	111 0.8×	122 1.3×	39 0.8×	24	302
Mariagabriella Mariani Italy	9	155 0.8×	53 0.4×	183 1.4×	140 1.5×	24 0.5×	11	373
Guillermo Drelichman Argentina	9	189 1.0×	62 0.4×	177 1.3×	187 2.0×	52 1.1×	23	412
Francisco J. Perea Mexico	10	159 0.8×	55 0.4×	122 0.9×	67 0.7×	54 1.1×	53	303
Parag Tamhankar India	10	52 0.3×	95 0.6×	51 0.4×	57 0.6×	34 0.7×	32	272
Gianluca De Rosa Italy	11	113 0.6×	92 0.6×	80 0.6×	188 2.0×	52 1.1×	14	288
Maritza Cavalcante Barbosa Brazil	10	142 0.8×	55 0.4×	154 1.2×	43 0.5×	17 0.4×	27	292
Holly R. Foster United Kingdom	9	57 0.3×	123 0.8×	166 1.2×	74 0.8×	6 0.1×	9	384

Countries citing papers authored by Prasanthi Chappa

Since Specialization

Citations

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

Fields of papers citing papers by Prasanthi Chappa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasanthi Chappa

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

All Works

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10 of 10 papers shown

Zenhausern, Ryan, Bora Jang, Elisa Schrader Echeverri, et al.. (2025). Lipid nanoparticle screening in nonhuman primates with minimal loss of life. Nature Biotechnology. 4 indexed citations

Zahr, Rima S., Prasanthi Chappa, Hong Yin, et al.. (2018). Renal protection by atorvastatin in a murine model of sickle cell nephropathy. British Journal of Haematology. 181(1). 111–121. 15 indexed citations

Capers, Patrice L, Hyacinth I. Hyacinth, Prasanthi Chappa, et al.. (2015). Body composition and grip strength are improved in transgenic sickle mice fed a high-protein diet. Journal of Nutritional Science. 4. e6–e6. 14 indexed citations

Ghosh, Samit, Olufolake Adisa, Prasanthi Chappa, et al.. (2013). Extracellular hemin crisis triggers acute chest syndrome in sickle mice. Journal of Clinical Investigation. 123(11). 4809–4820. 210 indexed citations

Ghosh, Samit, Olufolake Adisa, Prasanthi Chappa, et al.. (2013). Targeted Treatment Of Acute Chest Syndrome In Transgenic Sickle Mice. Blood. 122(21). 727–727. 1 indexed citations

Tucker‐Burden, Carol, Prasanthi Chappa, Malini Krishnamoorthy, et al.. (2012). Lectins Identify Glycan Biomarkers on Glioblastoma-Derived Cancer Stem Cells. Stem Cells and Development. 21(13). 2374–2386. 30 indexed citations

Hendrickson, Jeanne E., Eldad A. Hod, Samit Ghosh, et al.. (2011). Alloimmunization to transfused HOD red blood cells is not increased in mice with sickle cell disease. Transfusion. 52(2). 231–240. 21 indexed citations

Myers, David R., Yumiko Sakurai, Prasanthi Chappa, et al.. (2011). Measuring the Direct Effects of Sickle Cell Vaso-Occlusion on Endothelial Cells Using Microfluidic Technology. Blood. 118(21). 897–897. 1 indexed citations

Capers, Patrice L, et al.. (2010). Effect of High Protein Diet on Transgenic Sickle Mice. The FASEB Journal. 24(S1). 3 indexed citations

10.

Chen, Jianguang, Warren Fiskus, Pravina Fernandez, et al.. (2008). Cotreatment with BCL-2 antagonist sensitizes cutaneous T-cell lymphoma to lethal action of HDAC7-Nur77–based mechanism. Blood. 113(17). 4038–4048. 42 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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