Anu Gopal

1.1k total citations
10 papers, 951 citations indexed

About

Anu Gopal is a scholar working on Rehabilitation, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Anu Gopal has authored 10 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rehabilitation, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in Anu Gopal's work include Wound Healing and Treatments (8 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Periodontal Regeneration and Treatments (2 papers). Anu Gopal is often cited by papers focused on Wound Healing and Treatments (8 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Periodontal Regeneration and Treatments (2 papers). Anu Gopal collaborates with scholars based in India and United States. Anu Gopal's co-authors include Vinay Kant, Surendra K. Tandan, Dinesh Kumar, Nitya Nand Pathak, Pawan Kumar, Dhirendra Kumar, Mahendra Ram, Babu Lal Jangir, N. P. Kurade and Raju Prasad and has published in prestigious journals such as European Journal of Pharmacology, Cytokine and International Immunopharmacology.

In The Last Decade

Anu Gopal

9 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anu Gopal India	9	543	271	189	155	147	10	951
Qiteng Ding China	20	380 0.7×	431 1.6×	137 0.7×	67 0.4×	189 1.3×	54	1.1k
Christopher Dunnill United Kingdom	6	551 1.0×	253 0.9×	44 0.2×	130 0.8×	184 1.3×	9	1.1k
Chen Fan China	16	500 0.9×	261 1.0×	70 0.4×	63 0.4×	152 1.0×	25	1.2k
Neha Raina India	14	235 0.4×	289 1.1×	155 0.8×	33 0.2×	103 0.7×	24	813
James Brennan Ireland	5	562 1.0×	261 1.0×	45 0.2×	132 0.9×	173 1.2×	12	1.3k
Ioannis D. Karantas Türkiye	11	218 0.4×	250 0.9×	53 0.3×	51 0.3×	84 0.6×	18	650
Elnaz Shaabani Iran	12	294 0.5×	170 0.6×	49 0.3×	87 0.6×	194 1.3×	13	819
Shuwen Sun China	18	296 0.5×	302 1.1×	74 0.4×	58 0.4×	118 0.8×	31	672
Kejia Xu China	13	336 0.6×	233 0.9×	72 0.4×	67 0.4×	189 1.3×	30	838
Yujun Wang China	16	276 0.5×	319 1.2×	188 1.0×	26 0.2×	329 2.2×	37	1.2k

Countries citing papers authored by Anu Gopal

Since Specialization

Citations

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

Fields of papers citing papers by Anu Gopal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu Gopal

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

All Works

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10 of 10 papers shown

1.

Gopal, Anu, et al.. (2023). A Study of Polyphenolic Compounds and in vitro Antioxidant Activity of Trianthema portulacastrum Linn. Extracts. Indian Journal of Animal Research.

2.

Kant, Vinay, Dinesh Kumar, Raju Prasad, et al.. (2017). Combined effect of substance P and curcumin on cutaneous wound healing in diabetic rats. Journal of Surgical Research. 212. 130–145. 41 indexed citations

3.

Kant, Vinay, Dinesh Kumar, Dhirendra Kumar, et al.. (2015). Topical application of substance P promotes wound healing in streptozotocin-induced diabetic rats. Cytokine. 73(1). 144–155. 62 indexed citations

4.

Kant, Vinay, Anu Gopal, Nitya Nand Pathak, et al.. (2014). Antioxidant and anti-inflammatory potential of curcumin accelerated the cutaneous wound healing in streptozotocin-induced diabetic rats. International Immunopharmacology. 20(2). 322–330. 300 indexed citations

5.

Kant, Vinay, Anu Gopal, Dhirendra Kumar, et al.. (2014). Curcumin-induced angiogenesis hastens wound healing in diabetic rats. Journal of Surgical Research. 193(2). 978–988. 171 indexed citations

6.

Gopal, Anu, et al.. (2014). Chitosan-based copper nanocomposite accelerates healing in excision wound model in rats. European Journal of Pharmacology. 731. 8–19. 169 indexed citations

7.

Leo, M. Dennis, et al.. (2014). Pro‐healing effects of bilirubin in open excision wound model in rats. International Wound Journal. 13(3). 398–402. 24 indexed citations

8.

Kant, Vinay, Anu Gopal, Dhirendra Kumar, et al.. (2013). Topical pluronic F-127 gel application enhances cutaneous wound healing in rats. Acta Histochemica. 116(1). 5–13. 118 indexed citations

9.

Kant, Vinay, Anu Gopal, Dhirendra Kumar, et al.. (2013). Topically applied substance P enhanced healing of open excision wound in rats. European Journal of Pharmacology. 715(1-3). 345–353. 52 indexed citations

10.

Wani, Tariq Ahmad, et al.. (2012). Wound healing activity of ethanolic extract of Shorea robusta Gaertn. f. resin.. PubMed. 50(4). 277–81. 14 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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