Vikram Chandra

628 total citations
11 papers, 369 citations indexed

About

Vikram Chandra is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vikram Chandra has authored 11 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vikram Chandra's work include Insect and Arachnid Ecology and Behavior (7 papers), Plant and animal studies (5 papers) and Animal Behavior and Reproduction (4 papers). Vikram Chandra is often cited by papers focused on Insect and Arachnid Ecology and Behavior (7 papers), Plant and animal studies (5 papers) and Animal Behavior and Reproduction (4 papers). Vikram Chandra collaborates with scholars based in United States, Switzerland and India. Vikram Chandra's co-authors include Daniel J. C. Kronauer, David Owald, Suewei Lin, Wolf Huetteroth, Scott Waddell, Clifford B. Talbot, Sean K. McKenzie, Peter R. Oxley, Romain Libbrecht and Ingrid Fetter-Pruneda and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Neuroscience.

In The Last Decade

Vikram Chandra

10 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vikram Chandra United States	8	236	208	188	97	42	11	369
Susanne Hoyer Germany	5	181 0.8×	220 1.1×	130 0.7×	96 1.0×	14 0.3×	8	332
Andrew K. Shepherd United States	9	199 0.8×	353 1.7×	152 0.8×	120 1.2×	29 0.7×	10	461
Aaron M. Allen Canada	9	96 0.4×	204 1.0×	100 0.5×	50 0.5×	41 1.0×	15	281
Holly LaFerriere United States	6	127 0.5×	278 1.3×	110 0.6×	99 1.0×	56 1.3×	8	350
Martín Klappenbach Argentina	8	155 0.7×	300 1.4×	146 0.8×	130 1.3×	62 1.5×	14	367
Ulrich Stern United States	10	94 0.4×	171 0.8×	74 0.4×	74 0.8×	27 0.6×	11	268
Ysabel Milton Giraldo United States	8	215 0.9×	165 0.8×	180 1.0×	158 1.6×	23 0.5×	10	372
Poh Kheng Loi United States	12	105 0.4×	300 1.4×	137 0.7×	70 0.7×	40 1.0×	14	372
Thomas S. Muenz Germany	8	329 1.4×	324 1.6×	237 1.3×	160 1.6×	9 0.2×	10	445
Astrid Rohwedder Germany	10	178 0.8×	334 1.6×	107 0.6×	102 1.1×	87 2.1×	16	394

Countries citing papers authored by Vikram Chandra

Since Specialization

Citations

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

Fields of papers citing papers by Vikram Chandra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Chandra

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

All Works

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11 of 11 papers shown

Trible, Waring, et al.. (2023). A caste differentiation mutant elucidates the evolution of socially parasitic ants. Current Biology. 33(6). 1047–1058.e4. 12 indexed citations

Vijayan, Vikram, Vikram Chandra, Arun K. Chakravorty, et al.. (2022). An internal expectation guides Drosophila egg-laying decisions. Science Advances. 8(43). eabn3852–eabn3852. 14 indexed citations

Chandra, Vikram, et al.. (2022). Post-Operative Low Cerebrospinal Fluid Pressure Headache in Giant Tarlov Cysts. Cureus. 14(7). e27045–e27045.

Chandra, Vikram, A. Gal, & Daniel J. C. Kronauer. (2021). Colony expansions underlie the evolution of army ant mass raiding. Proceedings of the National Academy of Sciences. 118(22). 18 indexed citations

Chandra, Vikram & Joseph C. Daniel. (2021). 採餌と摂食は,クローンライダーアリにおける社会的および個人的ハンガーにより独立に制御される【JST・京大機械翻訳】. Behavioral Ecology and Sociobiology. 75(2). 41. 1 indexed citations

Ulrich, Yuko, et al.. (2021). Response thresholds alone cannot explain empirical patterns of division of labor in social insects. PLoS Biology. 19(6). e3001269–e3001269. 28 indexed citations

Chandra, Vikram & Daniel J. C. Kronauer. (2021). Foraging and feeding are independently regulated by social and personal hunger in the clonal raider ant. Behavioral Ecology and Sociobiology. 75(2). 6 indexed citations

Chandra, Vikram, Ingrid Fetter-Pruneda, Peter R. Oxley, et al.. (2018). Social regulation of insulin signaling and the evolution of eusociality in ants. Science. 361(6400). 398–402. 110 indexed citations

Chandra, Vikram, Sampath K. Gollapudi, & Murali Chandra. (2015). Rat cardiac troponin T mutation (F72L)-mediated impact on thin filament cooperativity is divergently modulated by α- and β-myosin heavy chain isoforms. American Journal of Physiology-Heart and Circulatory Physiology. 309(8). H1260–H1270. 13 indexed citations

10.

Lin, Suewei, David Owald, Vikram Chandra, et al.. (2014). Neural correlates of water reward in thirsty Drosophila. Nature Neuroscience. 17(11). 1536–1542. 158 indexed citations

11.

Chandra, Vikram. (1995). Red Earth and Pouring Rain. Medical Entomology and Zoology. 9 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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