Paul Hakimpour

1.5k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Paul Hakimpour is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Paul Hakimpour has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Paul Hakimpour's work include Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Paul Hakimpour is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Paul Hakimpour collaborates with scholars based in United States, Brazil and India. Paul Hakimpour's co-authors include F. Nina Papavasiliou, Grace Teng, Rafael Casellas, Thomas Tuschl, Pablo Landgraf, Bali Pulendran, Rajesh Ravindran, Helder I. Nakaya, Kiran Gill and R. Balfour Sartor and has published in prestigious journals such as Nature, Science and The Journal of Experimental Medicine.

In The Last Decade

Paul Hakimpour

6 papers receiving 1.1k 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.

TLR5-Mediated Sensing of Gut Microbiota Is Necessary for Antibody Responses to Seasonal Influenza Vaccination

2014 394 citations Jason Z. Oh, Rajesh Ravindran et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Hakimpour United States	6	633	495	233	223	175	6	1.1k
Hong-Hsing Liu United States	13	522 0.8×	649 1.3×	206 0.9×	127 0.6×	179 1.0×	20	1.2k
Ezra Aksoy Belgium	20	449 0.7×	814 1.6×	167 0.7×	78 0.3×	174 1.0×	24	1.3k
Krupen Patel United States	8	563 0.9×	371 0.7×	67 0.3×	276 1.2×	248 1.4×	8	953
Elizabeth Delorme‐Axford United States	17	693 1.1×	506 1.0×	177 0.8×	268 1.2×	499 2.9×	23	1.5k
Yen-Michael S. Hsu United States	6	236 0.4×	500 1.0×	94 0.4×	224 1.0×	268 1.5×	6	822
Jared H. Rowe United States	17	277 0.4×	1.1k 2.1×	127 0.5×	154 0.7×	211 1.2×	33	1.7k
Pedro Moura‐Alves Germany	15	433 0.7×	419 0.8×	140 0.6×	355 1.6×	266 1.5×	20	981
Nadine M. Turza Germany	10	266 0.4×	589 1.2×	149 0.6×	254 1.1×	191 1.1×	12	1.0k
Xizhong Zhang Canada	19	316 0.5×	477 1.0×	75 0.3×	394 1.8×	254 1.5×	41	1.1k
Kara L. Conway United States	12	455 0.7×	449 0.9×	58 0.2×	170 0.8×	326 1.9×	15	977

Countries citing papers authored by Paul Hakimpour

Since Specialization

Citations

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

Fields of papers citing papers by Paul Hakimpour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Hakimpour

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

All Works

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6 of 6 papers shown

1.

Sinclair, Charles, Gayathri Bommakanti, Luiz Gustavo Gardinassi, et al.. (2017). mTOR regulates metabolic adaptation of APCs in the lung and controls the outcome of allergic inflammation. Science. 357(6355). 1014–1021. 92 indexed citations

2.

Ravindran, Rajesh, Jens Loebbermann, Helder I. Nakaya, et al.. (2016). The amino acid sensor GCN2 controls gut inflammation by inhibiting inflammasome activation. Nature. 531(7595). 523–527. 225 indexed citations

3.

Oh, Jason Z., Rajesh Ravindran, Benoît Chassaing, et al.. (2014). TLR5-Mediated Sensing of Gut Microbiota Is Necessary for Antibody Responses to Seasonal Influenza Vaccination. Immunity. 41(3). 478–492. 394 indexed citations breakdown →

4.

Dunnick, Wesley A., John T. Collins, Jian Shi, et al.. (2009). Switch recombination and somatic hypermutation are controlled by the heavy chain 3′ enhancer region. The Journal of Experimental Medicine. 206(12). 2613–2623. 53 indexed citations

5.

Teng, Grace, Paul Hakimpour, Pablo Landgraf, et al.. (2008). MicroRNA-155 Is a Negative Regulator of Activation-Induced Cytidine Deaminase. Immunity. 28(5). 621–629. 370 indexed citations

6.

Berguer, Paula M., Pedro Bekinschtein, Paul Hakimpour, et al.. (2002). Neonatal infection with a milk-borne virus is independent of β7 integrin- and L-selectin-expressing lymphocytes. European Journal of Immunology. 32(4). 945–956. 10 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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