Akriti Sharma

40 total papers · 476 total citations
30 papers, 329 citations indexed

About

Akriti Sharma is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Akriti Sharma has authored 30 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Akriti Sharma's work include Tissue Engineering and Regenerative Medicine (4 papers), COVID-19 and healthcare impacts (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Akriti Sharma is often cited by papers focused on Tissue Engineering and Regenerative Medicine (4 papers), COVID-19 and healthcare impacts (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Akriti Sharma collaborates with scholars based in India, United States and Norway. Akriti Sharma's co-authors include Rama Shanker Verma, Santosh Gupta, Janani Radhakrishnan, Rohit Bhardwaj, Swati Haldar, Partha Roy, Debrupa Lahiri, Samrat Chauhan, Piyush Kumar Gupta and Sumeet Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Drug Discovery Today.

In The Last Decade

Akriti Sharma

25 papers receiving 328 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Akriti Sharma	164	79	74	45	44	30	329
Mohammad Kamalabadi‐Farahani	125 0.8×	80 1.0×	52 0.7×	30 0.7×	62 1.4×	35	289
Vignesh Kumar Rangasami	119 0.7×	77 1.0×	48 0.6×	20 0.4×	111 2.5×	15	325
Sara Trujillo	201 1.2×	152 1.9×	51 0.7×	18 0.4×	45 1.0×	25	343
Yunkai Tang	130 0.8×	73 0.9×	81 1.1×	23 0.5×	35 0.8×	18	292
Jianxiang He	174 1.1×	52 0.7×	29 0.4×	31 0.7×	51 1.2×	19	311
Ung Hyun Ko	156 1.0×	65 0.8×	128 1.7×	22 0.5×	121 2.8×	23	355
Guiwen Qu	154 0.9×	116 1.5×	47 0.6×	17 0.4×	34 0.8×	16	331
Zeyu Fu	247 1.5×	113 1.4×	52 0.7×	12 0.3×	55 1.3×	14	336
Jorge A. Belgodere	174 1.1×	58 0.7×	23 0.3×	75 1.7×	35 0.8×	25	303
Byeongmin Kang	262 1.6×	83 1.1×	96 1.3×	23 0.5×	44 1.0×	12	345

Countries citing papers authored by Akriti Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Akriti Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akriti Sharma

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

All Works

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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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