Neha Gulati

58 total papers · 2.2k total citations
34 papers, 1.6k citations indexed

About

Neha Gulati is a scholar working on Pharmaceutical Science, Biomaterials and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Neha Gulati has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmaceutical Science, 6 papers in Biomaterials and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Neha Gulati's work include Advanced Drug Delivery Systems (14 papers), Drug Solubulity and Delivery Systems (7 papers) and Advancements in Transdermal Drug Delivery (7 papers). Neha Gulati is often cited by papers focused on Advanced Drug Delivery Systems (14 papers), Drug Solubulity and Delivery Systems (7 papers) and Advancements in Transdermal Drug Delivery (7 papers). Neha Gulati collaborates with scholars based in India. Neha Gulati's co-authors include Upendra Nagaich, Charu Bharti, Shreya Kaul, Siddhartha Mukherjee, Himanshu Gupta, Swati Chauhan, Neha Jain, Shubhini A. Saraf, Shivani Mathur and Amit Chaudhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Reviews in Therapeutic Drug Carrier Systems and Drug Delivery and Translational Research.

In The Last Decade

Neha Gulati

33 papers receiving 1.5k citations

Hit Papers

Mesoporous silica nanopar... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Neha Gulati 473 454 409 320 299 34 1.6k
Diana Peixoto 331 0.7× 448 1.0× 273 0.7× 380 1.2× 328 1.1× 27 1.5k
Reema Narayan 408 0.9× 465 1.0× 445 1.1× 309 1.0× 314 1.1× 33 1.5k
Miguel Pereira‐Silva 300 0.6× 430 0.9× 286 0.7× 373 1.2× 570 1.9× 32 1.8k
M. Sabitha 521 1.1× 369 0.8× 231 0.6× 239 0.7× 197 0.7× 33 1.3k
H.V. Gangadharappa 381 0.8× 428 0.9× 430 1.1× 443 1.4× 371 1.2× 67 1.8k
Jiangling Wan 650 1.4× 565 1.2× 319 0.8× 547 1.7× 465 1.6× 55 1.8k
Simona Sapino 459 1.0× 471 1.0× 333 0.8× 266 0.8× 350 1.2× 68 1.7k
Saeid Moghassemi 520 1.1× 319 0.7× 182 0.4× 410 1.3× 473 1.6× 37 1.6k
Mubashar Rehman 516 1.1× 561 1.2× 255 0.6× 342 1.1× 441 1.5× 60 1.6k
Keishiro Tomoda 611 1.3× 711 1.6× 611 1.5× 623 1.9× 373 1.2× 32 2.2k

Countries citing papers authored by Neha Gulati

Since Specialization
Citations

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

Fields of papers citing papers by Neha Gulati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Gulati

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