Ankit Jain

1.6k total citations · 1 hit paper
8 papers, 942 citations indexed

About

Ankit Jain is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ankit Jain has authored 8 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ankit Jain's work include Autoimmune Neurological Disorders and Treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Ankit Jain is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Ankit Jain collaborates with scholars based in United States, Spain and Netherlands. Ankit Jain's co-authors include Rita J. Balice‐Gordon, Josep Dalmau, Xiaoyu Peng, Emilia H. Moscato, Thomas D. Parsons, Michael A. Welte, Mar Petit‐Pedrol, Francesc Graus, Elena Martín‐García and Esther Aguilar and has published in prestigious journals such as Genes & Development, The Journal of Cell Biology and Brain.

In The Last Decade

Ankit Jain

8 papers receiving 929 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human N-methyl D-aspartate receptor antibodies alter memory and behaviour in mice

2014 344 citations Jesús Planagumà, Frank Leypoldt et al. Brain profile →

Peers

Ankit Jain

NEURO

MB

CMN

GENET

CB

Francesco Mannara Spain

Benedikt Grünewald Germany

Holger Haselmann Germany

Rita Giuliano United States

Eric Powell United States

B. Wilburn United States

Estefanía Torres-Vega Spain

Jack Humphrey United States

Alex Morris United Kingdom

Lauren M. Tanabe United States

Francesco Mannara Spain

Ankit Jain

1.2k ×1.8

NEURO

260 ×0.9

MB

398 ×1.6

CMN

334 ×1.4

GENET

129 ×1.2

CB

Citations per year, relative to Ankit Jain Ankit Jain (= 1×) peers Francesco Mannara

Countries citing papers authored by Ankit Jain

Since Specialization

Citations

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

Fields of papers citing papers by Ankit Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Jain

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

All Works

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8 of 8 papers shown

1.

Jain, Ankit & Rita J. Balice‐Gordon. (2016). Cellular, synaptic, and circuit effects of antibodies in autoimmune CNS synaptopathies. Handbook of clinical neurology. 133. 77–93. 7 indexed citations

2.

Jain, Ankit, et al.. (2016). Temporal control of bidirectional lipid-droplet motion in Drosophila depends on the ratio of kinesin-1 and its co-factor Halo. Journal of Cell Science. 129(7). 1416–1428. 15 indexed citations

3.

Planagumà, Jesús, Frank Leypoldt, Francesco Mannara, et al.. (2014). Human N-methyl D-aspartate receptor antibodies alter memory and behaviour in mice. Brain. 138(1). 94–109. 344 indexed citations breakdown →

4.

Rembold, Martina, Lucia Ciglar, J. Omar Yáñez-Cuna, et al.. (2014). A conserved role for Snail as a potentiator of active transcription. Genes & Development. 28(2). 167–181. 68 indexed citations

5.

Moscato, Emilia H., Xiaoyu Peng, Ankit Jain, et al.. (2014). Acute mechanisms underlying antibody effects in anti–N‐methyl‐D‐aspartate receptor encephalitis. Annals of Neurology. 76(1). 108–119. 259 indexed citations

6.

Yu, Yanxun V., et al.. (2012). Organelle positioning in muscles requires cooperation between two KASH proteins and microtubules. The Journal of Cell Biology. 198(5). 833–846. 99 indexed citations

7.

Kumar, Monisha A., Ankit Jain, Tsukasa Saito, et al.. (2010). Anti–N-methyl-D-aspartate Receptor Encephalitis During Pregnancy. Archives of Neurology. 67(7). 884–7. 66 indexed citations

8.

Moscato, Emilia H., Ankit Jain, Xiaoyu Peng, et al.. (2010). Mechanisms underlying autoimmune synaptic encephalitis leading to disorders of memory, behavior and cognition: insights from molecular, cellular and synaptic studies. European Journal of Neuroscience. 32(2). 298–309. 84 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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