Shobha Purushothama

1.1k total citations
24 papers, 556 citations indexed

About

Shobha Purushothama is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Shobha Purushothama has authored 24 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Immunology and 7 papers in Biomedical Engineering. Recurrent topics in Shobha Purushothama's work include Biosimilars and Bioanalytical Methods (9 papers), Advanced Biosensing Techniques and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Shobha Purushothama is often cited by papers focused on Biosimilars and Bioanalytical Methods (9 papers), Advanced Biosensing Techniques and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Shobha Purushothama collaborates with scholars based in United States, India and United Kingdom. Shobha Purushothama's co-authors include Boris Gorovits, Lauren Stevenson, Charles Wijayawardhana, H. Brian Halsall, William R. Heineman, Patricia Siguenza, Surinder Kaur, Stephen C. Alley, Chetana Rao and Stacy S. Shord and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Sustainability.

In The Last Decade

Shobha Purushothama

23 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shobha Purushothama United States 13 230 188 147 132 107 24 556
Haijun Li China 16 323 1.4× 38 0.2× 94 0.6× 113 0.9× 50 0.5× 42 755
J. De Boever Belgium 15 199 0.9× 128 0.7× 128 0.9× 98 0.7× 59 0.6× 31 538
Bruce Turpie United States 12 172 0.7× 100 0.5× 124 0.8× 66 0.5× 20 0.2× 14 562
Uygar Halis Tazebay Türkiye 13 297 1.3× 94 0.5× 32 0.2× 92 0.7× 42 0.4× 28 751
Weiwen Xu China 15 364 1.6× 44 0.2× 70 0.5× 76 0.6× 71 0.7× 39 725
Yuexia Xie China 19 358 1.6× 204 1.1× 86 0.6× 106 0.8× 186 1.7× 27 808
Kang Wang China 17 175 0.8× 67 0.4× 58 0.4× 47 0.4× 164 1.5× 55 944
Weiming Ruan United States 11 296 1.3× 68 0.4× 45 0.3× 81 0.6× 92 0.9× 13 696
Pengfei Yang China 14 172 0.7× 36 0.2× 97 0.7× 112 0.8× 72 0.7× 25 577
Nathaniel Wilganowski United States 15 289 1.3× 166 0.9× 15 0.1× 120 0.9× 147 1.4× 20 977

Countries citing papers authored by Shobha Purushothama

Since Specialization
Citations

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

Fields of papers citing papers by Shobha Purushothama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shobha Purushothama

This figure shows the co-authorship network connecting the top 25 collaborators of Shobha Purushothama. A scholar is included among the top collaborators of Shobha Purushothama 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 Shobha Purushothama. Shobha Purushothama 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
2.
deSouza, Priyanka, Philip K. Hopke, Christian L’Orange, et al.. (2025). Contribution of Traffic Emissions to PM2.5 Concentrations at Bus Stops in Denver, Colorado. Sustainability. 17(17). 7707–7707.
3.
Gorovits, Boris, Michele Fiscella, Eugen Koren, et al.. (2020). Recommendations for the Development of Cell-Based Anti-Viral Vector Neutralizing Antibody Assays. The AAPS Journal. 22(2). 24–24. 35 indexed citations
4.
Penner, Natalia A., Shobha Purushothama, & Blake Pepinsky. (2020). Tissue distribution of 35S-metabolically labeled neublastin (BG00010) in rats. Journal of Pharmaceutical and Biomedical Analysis. 184. 113154–113154. 1 indexed citations
5.
Bjorklund, Nicole L., et al.. (2020). The need for a harmonized speech dataset for Alzheimer’s disease biomarker development. SHILAP Revista de lepidopterología. 1(6). 1 indexed citations
7.
Li, Xue, Adrienne Clements‐Egan, Lakshmi Amaravadi, et al.. (2017). Recommendations for the Assessment and Management of Pre-existing Drug-Reactive Antibodies During Biotherapeutic Development. The AAPS Journal. 19(6). 1576–1586. 15 indexed citations
8.
Yeung, David T, et al.. (2016). Evaluation of highly sensitive immunoassay technologies for quantitative measurements of sub-pg/mL levels of cytokines in human serum. Journal of Immunological Methods. 437. 53–63. 50 indexed citations
9.
Gorovits, Boris, Adrienne Clements‐Egan, Mary Birchler, et al.. (2016). Pre-existing Antibody: Biotherapeutic Modality-Based Review. The AAPS Journal. 18(2). 311–320. 57 indexed citations
10.
Stevenson, Lauren & Shobha Purushothama. (2014). Parallelism: Considerations for The Development, Validation and Implementation of PK and Biomarker Ligand-Binding Assays. Bioanalysis. 6(2). 185–198. 29 indexed citations
11.
Mora, Johanna, et al.. (2014). Next Generation Ligand Binding Assays—Review of Emerging Technologies’ Capabilities to Enhance Throughput and Multiplexing. The AAPS Journal. 16(6). 1175–1184. 29 indexed citations
12.
Purushothama, Shobha, et al.. (2003). Long-term feeding effects of heated and fried oils on hepatic antioxidant enzymes, absorption and excretion of fat in rats. Molecular and Cellular Biochemistry. 247(1-2). 95–99. 7 indexed citations
13.
Purushothama, Shobha, et al.. (2001). Small volume bead assay for ovalbumin with electrochemical detection. The Analyst. 126(3). 337–341. 26 indexed citations
14.
Purushothama, Shobha, Xiaodong Yang, John A. Hyatt, et al.. (1999). TG/FTIR/MS study of organic compounds evolved during the co-firing of coal and refuse-derived fuels. Fuel Processing Technology. 59(1). 35–50. 35 indexed citations
15.
Purushothama, Shobha, Wei‐Ping Pan, John T. Riley, & William G. Lloyd. (1998). Analysis of polynuclear aromatic hydrocarbons from coal fly ash. Fuel Processing Technology. 53(3). 235–242. 10 indexed citations
16.
Purushothama, Shobha, et al.. (1996). Studies on red palm oil: Effect of partial supplementation of saturated fats upon lipids and lipoproteins. Nutrition Research. 16(8). 1381–1392. 8 indexed citations
17.
Purushothama, Shobha, et al.. (1996). Co-firing high-sulfur coals with refuse-derived fuel. Thermochimica Acta. 284(1). 161–177. 13 indexed citations
18.
Purushothama, Shobha, et al.. (1995). Effect of long term feeding of rice bran oil upon lipids and lipoproteins in rats. Molecular and Cellular Biochemistry. 146(1). 63–69. 31 indexed citations
19.
Purushothama, Shobha, et al.. (1994). A study of plasma and liver lipid profile of rats fed palm oil or safflower oil along with cholesterol. Nutrition Research. 14(2). 255–269. 4 indexed citations
20.
Purushothama, Shobha, et al.. (1992). Effect of long term feeding of palm oil on growth and lipid metabolism in rats. Nutrition Research. 12(7). 867–877. 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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