Amita Behal

677 total citations
18 papers, 469 citations indexed

About

Amita Behal is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Amita Behal has authored 18 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Amita Behal's work include Bone health and treatments (2 papers), Protein Structure and Dynamics (2 papers) and Molecular Biology Techniques and Applications (2 papers). Amita Behal is often cited by papers focused on Bone health and treatments (2 papers), Protein Structure and Dynamics (2 papers) and Molecular Biology Techniques and Applications (2 papers). Amita Behal collaborates with scholars based in United States, India and Russia. Amita Behal's co-authors include Graeme Wistow, John J. Orloff, Gerard G. Bouffard, Ravi Salgia, Charles M. Peterson, Katherine Peterson, Atish Mohanty, Vladimir N. Uversky, Rupangi C. Vasavada and H. Jüppner and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Amita Behal

17 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amita Behal United States	11	356	90	75	55	48	18	469
Ana Artero‐Castro Spain	14	550 1.5×	74 0.8×	67 0.9×	40 0.7×	35 0.7×	26	724
Diane E. Borst United States	12	311 0.9×	36 0.4×	117 1.6×	45 0.8×	55 1.1×	22	426
Marc F. Schwartz United States	11	637 1.8×	96 1.1×	52 0.7×	137 2.5×	55 1.1×	14	742
Ping Xu China	14	783 2.2×	38 0.4×	96 1.3×	31 0.6×	139 2.9×	37	908
Laura Kallay United States	14	371 1.0×	40 0.4×	43 0.6×	165 3.0×	22 0.5×	17	606
Masanao Toshimori Japan	8	382 1.1×	38 0.4×	31 0.4×	172 3.1×	37 0.8×	9	493
Yogita Kanan United States	13	299 0.8×	69 0.8×	186 2.5×	37 0.7×	15 0.3×	29	472
Sílvia Albert United States	16	614 1.7×	35 0.4×	143 1.9×	80 1.5×	99 2.1×	58	889
Sudha Swamynathan United States	15	315 0.9×	78 0.9×	37 0.5×	72 1.3×	77 1.6×	25	666
Travis Cossette United States	11	327 0.9×	49 0.5×	87 1.2×	31 0.6×	175 3.6×	14	451

Countries citing papers authored by Amita Behal

Since Specialization

Citations

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

Fields of papers citing papers by Amita Behal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amita Behal

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

All Works

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18 of 18 papers shown

Behal, Amita, et al.. (2025). Social Media Mentions are a Stronger Predictor of Citations than 5-Year Impact Factor in Neurosurgical Research. Neurosurgery. 97(2). 501–507.

Gajjar, Avi A., Aditya Goyal, K. Gill, et al.. (2024). Evaluating the effects of recreational drug use on ruptured cerebral arteriovenous malformation presentation and in-hospital outcomes: a national inpatient sample analysis. Journal of NeuroInterventional Surgery. 17(9). 961–966. 2 indexed citations

Kulkarni, Prakash, Amita Behal, Atish Mohanty, et al.. (2022). Co-opting disorder into order: Intrinsically disordered proteins and the early evolution of complex multicellularity. International Journal of Biological Macromolecules. 201. 29–36. 8 indexed citations

Kulkarni, Prakash, S. Bhattacharya, Srisairam Achuthan, et al.. (2022). Intrinsically Disordered Proteins: Critical Components of the Wetware. Chemical Reviews. 122(6). 6614–6633. 55 indexed citations

Mirzapoiazova, Tamara, Gang Xiao, Bolot Mambetsariev, et al.. (2021). Protein Phosphatase 2A as a Therapeutic Target in Small Cell Lung Cancer. Molecular Cancer Therapeutics. 20(10). 1820–1835. 9 indexed citations

Srivastava, Saumya, Ka Ming Pang, Mari Iida, et al.. (2020). Activation of EPHA2-ROBO1 Heterodimer by SLIT2 Attenuates Non-canonical Signaling and Proliferation in Squamous Cell Carcinomas. iScience. 23(11). 101692–101692. 10 indexed citations

Subbiah, Shanmuga, et al.. (2020). Small Cell Lung Cancer from Traditional to Innovative Therapeutics: Building a Comprehensive Network to Optimize Clinical and Translational Research. Journal of Clinical Medicine. 9(8). 2433–2433. 10 indexed citations

Wistow, Graeme, et al.. (2002). Expressed sequence tag analysis of human RPE/choroid for the NEIBank Project: over 6000 non-redundant transcripts, novel genes and splice variants.. PubMed. 8. 205–20. 53 indexed citations

Wistow, Graeme, et al.. (2002). Expressed sequence tag analysis of adult human lens for the NEIBank Project: over 2000 non-redundant transcripts, novel genes and splice variants.. PubMed. 8. 171–84. 81 indexed citations

10.

Wistow, Graeme, et al.. (2002). Expressed sequence tag analysis of human retina for the NEIBank Project: retbindin, an abundant, novel retinal cDNA and alternative splicing of other retina-preferred gene transcripts.. PubMed. 8. 196–204. 50 indexed citations

11.

Wistow, Graeme, et al.. (2002). Expressed sequence tag analysis of adult human iris for the NEIBank Project: steroid-response factors and similarities with retinal pigment epithelium.. PubMed. 8. 185–95. 32 indexed citations

12.

Wistow, Graeme, et al.. (2002). Grouping and identification of sequence tags (GRIST): bioinformatics tools for the NEIBank database.. PubMed. 8. 164–70. 14 indexed citations

13.

Orloff, John J., Michael B. Ganz, Michael H. Nathanson, et al.. (1996). A midregion parathyroid hormone-related peptide mobilizes cytosolic calcium and stimulates formation of inositol trisphosphate in a squamous carcinoma cell line.. Endocrinology. 137(12). 5376–5385. 41 indexed citations

14.

Orloff, John J., Pablo Ureña, Ernestina Schipani, et al.. (1995). Further evidence for a novel receptor for amino-terminal parathyroid hormone-related protein on keratinocytes and squamous carcinoma cell lines.. Endocrinology. 136(7). 3016–3023. 73 indexed citations

15.

Sivakumar, Nallusamy, et al.. (1992). Evolutionary conservation of a germ cell-specific lamin persisting through mammalian spermiogenesis. Experimental Cell Research. 198(1). 78–84. 4 indexed citations

16.

Engelberg, David, et al.. (1992). dOct2, a Drosophila Oct transcription factor that functions in yeast.. Proceedings of the National Academy of Sciences. 89(15). 7080–7084. 20 indexed citations

17.

Behal, Amita, et al.. (1990). Structure and chromosomal location of the rat ribophorin I gene.. Journal of Biological Chemistry. 265(14). 8252–8258. 3 indexed citations

18.

Behal, Amita, Kirti Prakash, & Manchanahalli R. Satyanarayana Rao. (1987). Identification of a meiotic prophase-specific nuclear matrix protein in the rat.. Journal of Biological Chemistry. 262(22). 10898–10902. 4 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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