Neha Shukla

51 total papers · 514 total citations
31 papers, 400 citations indexed

About

Neha Shukla is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Neha Shukla has authored 31 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 10 papers in Electrical and Electronic Engineering and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Neha Shukla's work include Extraction and Separation Processes (9 papers), Recycling and Waste Management Techniques (7 papers) and Advancements in Battery Materials (6 papers). Neha Shukla is often cited by papers focused on Extraction and Separation Processes (9 papers), Recycling and Waste Management Techniques (7 papers) and Advancements in Battery Materials (6 papers). Neha Shukla collaborates with scholars based in India. Neha Shukla's co-authors include Nikhil Dhawan, Manoj Kumar Mishra, Ram Chandra, Narsingh Verma, Shipra Bhardwaj, Bijay Kumar Show, Rajeeva Gaur, Shivani Kumari, Girijesh Kumar Patel and Shrey Agrawal and has published in prestigious journals such as Journal of Cleaner Production, Ecotoxicology and Environmental Safety and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.

In The Last Decade

Neha Shukla

30 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Neha Shukla	113	79	75	66	65	31	400
Quan Ye	34 0.3×	65 0.8×	27 0.4×	94 1.4×	30 0.5×	28	439
Xiaoyu Li	25 0.2×	89 1.1×	52 0.7×	36 0.5×	21 0.3×	27	416
Pankaj Singh	32 0.3×	49 0.6×	74 1.0×	30 0.5×	23 0.4×	29	386
Kai Zou	149 1.3×	69 0.9×	75 1.0×	12 0.2×	20 0.3×	27	351
Liangqin Liu	75 0.7×	191 2.4×	205 2.7×	15 0.2×	49 0.8×	23	413
M. Kavisri	14 0.1×	63 0.8×	58 0.8×	59 0.9×	24 0.4×	43	429
Lijun Tan	56 0.5×	86 1.1×	17 0.2×	75 1.1×	20 0.3×	23	432
Pankaj Gautam	16 0.1×	67 0.8×	41 0.5×	17 0.3×	20 0.3×	40	409
Yingkun Liu	32 0.3×	85 1.1×	104 1.4×	22 0.3×	8 0.1×	32	375
Juliana de Souza Ferreira	47 0.4×	99 1.3×	39 0.5×	34 0.5×	32 0.5×	33	403

Countries citing papers authored by Neha Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Neha Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Shukla

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