Sujata Vijh

1.7k total citations
9 papers, 1.4k citations indexed

About

Sujata Vijh is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sujata Vijh has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Sujata Vijh's work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (4 papers). Sujata Vijh is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (4 papers). Sujata Vijh collaborates with scholars based in United States. Sujata Vijh's co-authors include Eric G. Pamer, Ingrid M. Pilip, Dirk H. Busch, Kristen M. Kerksiek, Simon Allen, Roberto Mercado, Tiffany Horng, Natalya V. Serbina, Roman Tůma and Grégoire Lauvau and has published in prestigious journals such as Science, Immunity and The Journal of Immunology.

In The Last Decade

Sujata Vijh

9 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sujata Vijh United States	9	1.2k	234	197	147	114	9	1.4k
Kristen M. Kerksiek United States	18	1.5k 1.3×	261 1.1×	197 1.0×	206 1.4×	120 1.1×	21	1.9k
Paola Paglia Italy	16	909 0.8×	433 1.9×	228 1.2×	300 2.0×	92 0.8×	27	1.5k
Joachim Fensterle Germany	14	341 0.3×	202 0.9×	121 0.6×	100 0.7×	33 0.3×	21	668
Mojca Škoberne United States	14	471 0.4×	150 0.6×	90 0.5×	79 0.5×	27 0.2×	23	718
Drew M. Catron United States	10	689 0.6×	206 0.9×	25 0.1×	81 0.6×	78 0.7×	11	1.0k
Renu Dudani Canada	18	689 0.6×	429 1.8×	35 0.2×	104 0.7×	62 0.5×	37	1.1k
E S Metcalf United States	19	785 0.7×	260 1.1×	48 0.2×	46 0.3×	204 1.8×	28	1.2k
W Stok Czechia	13	397 0.3×	556 2.4×	95 0.5×	38 0.3×	99 0.9×	17	1.1k
Manuel Osorio United States	13	288 0.2×	321 1.4×	84 0.4×	39 0.3×	113 1.0×	18	793
Reshma Singh United States	12	364 0.3×	135 0.6×	275 1.4×	175 1.2×	41 0.4×	21	673

Countries citing papers authored by Sujata Vijh

Since Specialization

Citations

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

Fields of papers citing papers by Sujata Vijh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujata Vijh

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

All Works

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9 of 9 papers shown

1.

Vijh, Sujata, et al.. (2002). Transcription Regulation of Human Chemokine Receptor CCR3: Evidence for a Rare TATA-less Promoter Structure Conserved between Drosophila and Humans. Genomics. 80(1). 86–95. 11 indexed citations

2.

Lauvau, Grégoire, Sujata Vijh, Philip Kong, et al.. (2001). Priming of Memory But Not Effector CD8 T Cells by a Killed Bacterial Vaccine. Science. 294(5547). 1735–1739. 246 indexed citations

3.

Mercado, Roberto, Sujata Vijh, Simon Allen, et al.. (2000). Early Programming of T Cell Populations Responding to Bacterial Infection. The Journal of Immunology. 165(12). 6833–6839. 396 indexed citations

4.

Busch, Dirk H., Sujata Vijh, & Eric G. Pamer. (2000). Animal Model for Infection with Listeria monocytogenes. Current Protocols in Immunology. 36(1). Unit 19.9–Unit 19.9. 17 indexed citations

5.

Vijh, Sujata, Ingrid M. Pilip, & Eric G. Pamer. (1999). Noncompetitive Expansion of Cytotoxic T Lymphocytes Specific for Different Antigens during Bacterial Infection. Infection and Immunity. 67(3). 1303–1309. 50 indexed citations

6.

Vijh, Sujata, Ingrid M. Pilip, & Eric G. Pamer. (1998). Effect of Antigen-Processing Efficiency on In Vivo T Cell Response Magnitudes. The Journal of Immunology. 160(8). 3971–3977. 56 indexed citations

7.

Busch, Dirk H., Ingrid M. Pilip, Sujata Vijh, & Eric G. Pamer. (1998). Coordinate Regulation of Complex T Cell Populations Responding to Bacterial Infection. Immunity. 8(3). 353–362. 439 indexed citations

8.

Vijh, Sujata & Eric G. Pamer. (1997). Immunodominant and subdominant CTL responses to Listeria monocytogenes infection. The Journal of Immunology. 158(7). 3366–3371. 126 indexed citations

9.

Pamer, Eric G., Alice J.A.M. Sijts, Merceditas Villanueva, Dirk H. Busch, & Sujata Vijh. (1997). MHC class I antigen processing of Listeria monocytogenes proteins: implications for dominant and subdominant CTL responses. Immunological Reviews. 158(1). 129–136. 97 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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