Venu Pullabhatla

1.5k total citations
9 papers, 701 citations indexed

About

Venu Pullabhatla is a scholar working on Immunology, Molecular Biology and Dermatology. According to data from OpenAlex, Venu Pullabhatla has authored 9 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Dermatology. Recurrent topics in Venu Pullabhatla's work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Venu Pullabhatla is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Venu Pullabhatla collaborates with scholars based in United Kingdom, United States and Germany. Venu Pullabhatla's co-authors include Michael A. Simpson, Francesca Capon, Paola Di Meglio, Frank O. Nestlé, Sarah L. Spain, Richard C. Trembath, Juliet N. Barker, Jo Knight, Alexandros Onoufriadis and Catherine Smith and has published in prestigious journals such as The Lancet, Immunity and PLoS ONE.

In The Last Decade

Venu Pullabhatla

8 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Venu Pullabhatla United Kingdom	5	525	330	161	148	89	9	701
Shivani B. Kaushik United States	9	490 0.9×	407 1.2×	75 0.5×	111 0.8×	87 1.0×	10	786
Maya Debbaneh United States	13	399 0.8×	232 0.7×	82 0.5×	115 0.8×	56 0.6×	16	582
Luca Mastorino Italy	15	275 0.5×	334 1.0×	124 0.8×	70 0.5×	58 0.7×	77	547
Alexandra Gruber‐Wackernagel Austria	15	403 0.8×	487 1.5×	94 0.6×	48 0.3×	42 0.5×	28	690
Aleksandra Batycka-Baran Poland	12	273 0.5×	280 0.8×	65 0.4×	148 1.0×	72 0.8×	40	558
Luisa Senra Switzerland	4	361 0.7×	200 0.6×	87 0.5×	62 0.4×	41 0.5×	5	473
Bożena Chodynicka Poland	14	361 0.7×	140 0.4×	59 0.4×	139 0.9×	89 1.0×	49	608
Maria Quaranta Italy	9	247 0.5×	221 0.7×	107 0.7×	82 0.6×	26 0.3×	16	479
Eva‐B. Bröcker Germany	7	245 0.5×	362 1.1×	223 1.4×	174 1.2×	77 0.9×	7	803
Andreas Ruether Germany	10	276 0.5×	408 1.2×	206 1.3×	58 0.4×	64 0.7×	13	745

Countries citing papers authored by Venu Pullabhatla

Since Specialization

Citations

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

Fields of papers citing papers by Venu Pullabhatla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venu Pullabhatla

This figure shows the co-authorship network connecting the top 25 collaborators of Venu Pullabhatla. A scholar is included among the top collaborators of Venu Pullabhatla 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 Venu Pullabhatla. Venu Pullabhatla 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

Chan, Jacqueline, Jolyon Holdstock, James F. Reid, et al.. (2024). Clinical and analytical validation of an 82-gene comprehensive genome-profiling panel for identifying and interpreting variants responsible for inherited retinal dystrophies. PLoS ONE. 19(6). e0305422–e0305422.

Henderson, Stephen, Venu Pullabhatla, Arnulf Hertweck, et al.. (2021). The Th1 cell regulatory circuitry is largely conserved between human and mouse. Life Science Alliance. 4(11). e202101075–e202101075. 2 indexed citations

Tziotzios, Christos, Christos Petridis, Nick Dand, et al.. (2019). 283 Genome-wide association study in frontal fibrosing alopecia identifies 4 genomic loci and implicates auto-immunity and xenobiotic exposure in aetiopathogenesis. Journal of Investigative Dermatology. 139(9). S263–S263. 1 indexed citations

Pullabhatla, Venu, Amy L. Roberts, Myles Lewis, et al.. (2017). De novo mutations implicate novel genes in systemic lupus erythematosus. Human Molecular Genetics. 27(3). 421–429. 35 indexed citations

Brown, Chrysothemis C., Daria Esterházy, Aurélien Sarde, et al.. (2015). Retinoic Acid Is Essential for Th1 Cell Lineage Stability and Prevents Transition to a Th17 Cell Program. Immunity. 42(3). 499–511. 115 indexed citations

Brown, Chrysothemis C., Daria Esterházy, Aurélien Sarde, et al.. (2015). Role of retinoic acid in the stability of the T-helper-type 1 lineage and implications for autoimmunity. The Lancet. 385. S25–S25. 1 indexed citations

Quaranta, Maria, Bettina L. Knapp, Natalie Garzorz, et al.. (2014). Intraindividual genome expression analysis reveals a specific molecular signature of psoriasis and eczema. Science Translational Medicine. 6(244). 244ra90–244ra90. 152 indexed citations

Clop, Alex, Anna Bertoni, Sarah L. Spain, et al.. (2013). An In-Depth Characterization of the Major Psoriasis Susceptibility Locus Identifies Candidate Susceptibility Alleles within an HLA-C Enhancer Element. PLoS ONE. 8(8). e71690–e71690. 32 indexed citations

Onoufriadis, Alexandros, Michael A. Simpson, Andrew Pink, et al.. (2011). Mutations in IL36RN/IL1F5 Are Associated with the Severe Episodic Inflammatory Skin Disease Known as Generalized Pustular Psoriasis. The American Journal of Human Genetics. 89(3). 432–437. 363 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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