Geeta Buda

467 total citations
8 papers, 304 citations indexed

About

Geeta Buda is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Geeta Buda has authored 8 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Public Health, Environmental and Occupational Health and 3 papers in Insect Science. Recurrent topics in Geeta Buda's work include Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (4 papers) and Insect symbiosis and bacterial influences (3 papers). Geeta Buda is often cited by papers focused on Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (4 papers) and Insect symbiosis and bacterial influences (3 papers). Geeta Buda collaborates with scholars based in United States, Netherlands and United Kingdom. Geeta Buda's co-authors include Michael G. Rossmann, Thomas Klose, Richard Kühn, Andrew S. Miller, Wen Jiang, Vidya Mangala Prasad, Devika Sirohi, Feng Long, Madhumati Sevvana and Chengqun Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Structural & Molecular Biology.

In The Last Decade

Geeta Buda

7 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geeta Buda United States	6	226	224	75	50	45	8	304
Nathan M. Liss United States	9	290 1.3×	282 1.3×	60 0.8×	23 0.5×	54 1.2×	10	377
Guoming Ma China	6	155 0.7×	201 0.9×	58 0.8×	32 0.6×	31 0.7×	7	299
Elisa X. Y. Lim Singapore	7	377 1.7×	311 1.4×	133 1.8×	82 1.6×	48 1.1×	13	441
Viswanathan Ramasamy India	8	214 0.9×	200 0.9×	54 0.7×	30 0.6×	44 1.0×	9	304
Patricia Aguilar United States	9	146 0.6×	228 1.0×	63 0.8×	13 0.3×	52 1.2×	12	333
C. C. Lin Taiwan	9	149 0.7×	122 0.5×	41 0.5×	18 0.4×	66 1.5×	18	285
Ter Yong Tan Singapore	7	220 1.0×	174 0.8×	76 1.0×	33 0.7×	70 1.6×	10	307
Valeria Mancinelli Canada	4	224 1.0×	212 0.9×	86 1.1×	30 0.6×	36 0.8×	4	311
Susanne Rauscher Austria	4	218 1.0×	180 0.8×	36 0.5×	64 1.3×	119 2.6×	4	372
Edson Elias da Silva Brazil	13	136 0.6×	219 1.0×	82 1.1×	16 0.3×	46 1.0×	24	356

Countries citing papers authored by Geeta Buda

Since Specialization

Citations

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

Fields of papers citing papers by Geeta Buda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geeta Buda

This figure shows the co-authorship network connecting the top 25 collaborators of Geeta Buda. A scholar is included among the top collaborators of Geeta Buda 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 Geeta Buda. Geeta Buda 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

1.

Bandyopadhyay, Abhishek, Lauren E. Williamson, Devika Sirohi, et al.. (2025). Structural elucidation of a unique binding mode by an intact alphavirus human IgG molecule to a quaternary epitope. Nature Communications. 16(1). 7716–7716.

2.

Klose, Thomas, Chengqun Sun, Arthur S. Kim, et al.. (2022). Cryo-EM structures of alphavirus conformational intermediates in low pH–triggered prefusion states. Proceedings of the National Academy of Sciences. 119(30). e2114119119–e2114119119. 7 indexed citations

3.

Sevvana, Madhumati, Thomas F. Rogers, Andrew S. Miller, et al.. (2020). Structural Basis of Zika Virus Specific Neutralization in Subsequent Flavivirus Infections. Viruses. 12(12). 1346–1346. 5 indexed citations

4.

Hasan, S. Saif, Thomas Klose, Yingyuan Sun, et al.. (2020). Cryo-EM structure of eastern equine encephalitis virus in complex with heparan sulfate analogues. Proceedings of the National Academy of Sciences. 117(16). 8890–8899. 25 indexed citations

5.

Liu, Yue, Ju Sheng, Arno L. W. van Vliet, et al.. (2018). Molecular basis for the acid-initiated uncoating of human enterovirus D68. Proceedings of the National Academy of Sciences. 115(52). 33 indexed citations

6.

Sevvana, Madhumati, Feng Long, Andrew S. Miller, et al.. (2018). Refinement and Analysis of the Mature Zika Virus Cryo-EM Structure at 3.1 Å Resolution. Structure. 26(9). 1169–1177.e3. 67 indexed citations

7.

Hasan, S. Saif, Chengqun Sun, Arthur S. Kim, et al.. (2018). Cryo-EM Structures of Eastern Equine Encephalitis Virus Reveal Mechanisms of Virus Disassembly and Antibody Neutralization. Cell Reports. 25(11). 3136–3147.e5. 47 indexed citations

8.

Prasad, Vidya Mangala, Andrew S. Miller, Thomas Klose, et al.. (2017). Structure of the immature Zika virus at 9 Å resolution. Nature Structural & Molecular Biology. 24(2). 184–186. 120 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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