Neha Garg

48 total papers · 522 total citations
25 papers, 342 citations indexed

About

Neha Garg is a scholar working on Surgery, Anesthesiology and Pain Medicine and Hepatology. According to data from OpenAlex, Neha Garg has authored 25 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 6 papers in Anesthesiology and Pain Medicine and 4 papers in Hepatology. Recurrent topics in Neha Garg's work include Anesthesia and Sedative Agents (5 papers), Anesthesia and Pain Management (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Neha Garg is often cited by papers focused on Anesthesia and Sedative Agents (5 papers), Anesthesia and Pain Management (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Neha Garg collaborates with scholars based in India, United States and Saudi Arabia. Neha Garg's co-authors include Martin L. Adamo, Sachin Thakur, C. Alex McMahan, Shihoko Kojima, Nicholas Douris, Masanobu Kawai, Carla B. Green, David R. Clemmons, Beata Lecka‐Czernik and Mark C. Horowitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Neha Garg

22 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Neha Garg	123	82	81	68	48	25	342
Didem Önk	72 0.6×	64 0.8×	50 0.6×	49 0.7×	39 0.8×	28	341
Gert Jan Scheffer	104 0.8×	56 0.7×	51 0.6×	48 0.7×	38 0.8×	21	401
Kevin Nguyen	117 1.0×	63 0.8×	81 1.0×	10 0.1×	18 0.4×	24	335
Bogdan Pavel	66 0.5×	15 0.2×	84 1.0×	133 2.0×	9 0.2×	27	382
Shengjin Ge	81 0.7×	64 0.8×	53 0.7×	12 0.2×	109 2.3×	35	384
D. Mitolo‐Chieppa	81 0.7×	76 0.9×	105 1.3×	20 0.3×	17 0.4×	43	361
Liang Xie	90 0.7×	33 0.4×	100 1.2×	54 0.8×	15 0.3×	29	393
Ameet Daftary	92 0.7×	80 1.0×	68 0.8×	83 1.2×	17 0.4×	23	363
Hiroyuki Hirate	55 0.4×	64 0.8×	111 1.4×	15 0.2×	34 0.7×	24	338
Philippe Nguyên	74 0.6×	84 1.0×	49 0.6×	46 0.7×	8 0.2×	25	328

Countries citing papers authored by Neha Garg

Since Specialization

Citations

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

Fields of papers citing papers by Neha Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Garg

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