Sunita Verma‐Kurvari

591 total citations
10 papers, 458 citations indexed

About

Sunita Verma‐Kurvari is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Sunita Verma‐Kurvari has authored 10 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in Sunita Verma‐Kurvari's work include Developmental Biology and Gene Regulation (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Sunita Verma‐Kurvari is often cited by papers focused on Developmental Biology and Gene Regulation (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Sunita Verma‐Kurvari collaborates with scholars based in United States, Finland and Switzerland. Sunita Verma‐Kurvari's co-authors include Luis F. Parada, Keith L. Parker, Nathan C. Bingham, Serge Nef, Argiris Efstratiadis, J D Vassalli, Jussi Merenmies, Domenico Accili, Jane E. Johnson and Trisha K. Savage and has published in prestigious journals such as Nature, Annals of the New York Academy of Sciences and Developmental Biology.

In The Last Decade

Sunita Verma‐Kurvari

10 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunita Verma‐Kurvari United States	6	310	224	104	56	56	10	458
Anne-Marie Bridoux France	10	359 1.2×	388 1.7×	48 0.5×	52 0.9×	42 0.8×	11	712
Sophie Brisset France	16	194 0.6×	378 1.7×	89 0.9×	40 0.7×	27 0.5×	39	585
Naoyuki Takuma Japan	12	330 1.1×	169 0.8×	157 1.5×	36 0.6×	167 3.0×	15	635
Sanae Oka Japan	11	365 1.2×	323 1.4×	63 0.6×	43 0.8×	63 1.1×	16	498
Kenryo Furushima Japan	14	289 0.9×	136 0.6×	41 0.4×	25 0.4×	30 0.5×	18	441
T. L. Greco United States	10	359 1.2×	310 1.4×	148 1.4×	41 0.7×	100 1.8×	13	684
Mathias S. Gierl Germany	7	309 1.0×	189 0.8×	30 0.3×	159 2.8×	18 0.3×	7	512
Michèle Mathieu France	9	341 1.1×	310 1.4×	247 2.4×	45 0.8×	10 0.2×	18	622
Mukesh Gautam United States	12	214 0.7×	81 0.4×	105 1.0×	17 0.3×	55 1.0×	18	472
Mary Anne Potok United States	10	397 1.3×	193 0.9×	31 0.3×	54 1.0×	32 0.6×	13	561

Countries citing papers authored by Sunita Verma‐Kurvari

Since Specialization

Citations

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

Fields of papers citing papers by Sunita Verma‐Kurvari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunita Verma‐Kurvari. 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 Sunita Verma‐Kurvari. The network helps show where Sunita Verma‐Kurvari may publish in the future.

Co-authorship network of co-authors of Sunita Verma‐Kurvari

This figure shows the co-authorship network connecting the top 25 collaborators of Sunita Verma‐Kurvari. A scholar is included among the top collaborators of Sunita Verma‐Kurvari 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 Sunita Verma‐Kurvari. Sunita Verma‐Kurvari 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

Hisey, Michael S., et al.. (2012). Minimally invasive trans-sacral approach to L5-S1 interbody fusion: Preliminary results from 1 center and review of the literature. The International Journal of Spine Surgery. 6(1). 110–114. 1 indexed citations

Verma‐Kurvari, Sunita, et al.. (2010). Are Electrodiagnostic Study Findings Related to a Patient's Response to Epidural Steroid Injection?. PM&R. 2(11). 1016–1020. 13 indexed citations

Bingham, Nathan C., Sunita Verma‐Kurvari, Luis F. Parada, & Keith L. Parker. (2006). Development of a steroidogenic factor 1/Cre transgenic mouse line. genesis. 44(9). 419–424. 137 indexed citations

Verma‐Kurvari, Sunita, Serge Nef, & Luis F. Parada. (2005). Hormonal Regulation of Male Reproductive Tract Development. Annals of the New York Academy of Sciences. 1061(1). 1–8. 3 indexed citations

Verma‐Kurvari, Sunita & Luis F. Parada. (2004). Identification of tyrosine kinases expressed in the male mouse gubernaculum during development. Developmental Dynamics. 230(4). 660–665. 1 indexed citations

Nef, Serge, Sunita Verma‐Kurvari, Jussi Merenmies, et al.. (2003). Testis determination requires insulin receptor family function in mice. Nature. 426(6964). 291–295. 206 indexed citations

Verma‐Kurvari, Sunita, Trisha K. Savage, Derek K. Smith, & Jane E. Johnson. (1998). Multiple Elements RegulateMash1Expression in the Developing CNS. Developmental Biology. 197(1). 106–116. 25 indexed citations

Verma‐Kurvari, Sunita & Jane E. Johnson. (1997). Identification of an achaete–scute homolog, Fash1, from Fugu rubripes. Gene. 200(1-2). 145–148. 2 indexed citations

Verma‐Kurvari, Sunita, Barbara Border, & Rolf H. Joho. (1997). Regional and cellular expression patterns of four K+ channel mRNAs in the adult rat brain. Molecular Brain Research. 46(1-2). 54–62. 26 indexed citations

10.

Verma‐Kurvari, Sunita, Trisha K. Savage, Katherine Gowan, & Jane E. Johnson. (1996). Lineage-Specific Regulation of the Neural Differentiation GeneMASH1. Developmental Biology. 180(2). 605–617. 44 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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