Fernando Senjobe

683 total citations · 1 hit paper
5 papers, 306 citations indexed

About

Fernando Senjobe is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Fernando Senjobe has authored 5 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Immunology and 1 paper in Molecular Biology. Recurrent topics in Fernando Senjobe's work include SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infections and Outbreaks Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Fernando Senjobe is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infections and Outbreaks Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Fernando Senjobe collaborates with scholars based in United States, South Africa and India. Fernando Senjobe's co-authors include Rhoda Tano-Menka, Clarety Kaseke, Gaurav D. Gaiha, A. John Iafrate, Vivek Naranbhai, Wilfredo F. García-Beltrán, Anusha Nathan, Bruce D. Walker, Mary Carrington and Ashok Khatri and has published in prestigious journals such as Cell, PLoS Biology and The Journal of Infectious Diseases.

In The Last Decade

Fernando Senjobe

5 papers receiving 302 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.

T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals

2022 157 citations Vivek Naranbhai, Anusha Nathan et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando Senjobe United States	5	259	99	72	29	22	5	306
Ludivine Grzelak France	7	194 0.7×	54 0.5×	100 1.4×	28 1.0×	19 0.9×	10	298
K. Rachael Parks United States	6	214 0.8×	90 0.9×	85 1.2×	19 0.7×	25 1.1×	8	297
Anna J. MacCamy United States	4	244 0.9×	83 0.8×	70 1.0×	11 0.4×	38 1.7×	7	287
Pan-Pan Zhou China	8	252 1.0×	91 0.9×	47 0.7×	34 1.2×	60 2.7×	12	327
Bezawit A. Woldemeskel United States	8	327 1.3×	73 0.7×	97 1.3×	20 0.7×	26 1.2×	11	372
Alona Kuzmina Israel	9	195 0.8×	133 1.3×	47 0.7×	29 1.0×	40 1.8×	18	315
Rhoda Tano-Menka United States	4	203 0.8×	83 0.8×	67 0.9×	11 0.4×	12 0.5×	5	234
E. Alexandar Escarrega United States	3	282 1.1×	86 0.9×	113 1.6×	24 0.8×	38 1.7×	3	342
Irene P. Chen United States	8	226 0.9×	129 1.3×	38 0.5×	37 1.3×	33 1.5×	10	327
Yu-Hsin Wan United States	5	330 1.3×	110 1.1×	84 1.2×	39 1.3×	50 2.3×	6	396

Countries citing papers authored by Fernando Senjobe

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Senjobe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Senjobe

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

All Works

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5 of 5 papers shown

1.

Naranbhai, Vivek, Anusha Nathan, Clarety Kaseke, et al.. (2022). T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals. Cell. 185(6). 1041–1051.e6. 157 indexed citations breakdown →

2.

Nathan, Anusha, Elizabeth J. Rossin, Clarety Kaseke, et al.. (2021). Structure-guided T cell vaccine design for SARS-CoV-2 variants and sarbecoviruses. Cell. 184(17). 4401–4413.e10. 53 indexed citations

3.

Das, Dibyendu Kumar, William E. Diehl, Natasha D. Durham, et al.. (2020). Conformational changes in the Ebola virus membrane fusion machine induced by pH, Ca2+, and receptor binding. PLoS Biology. 18(2). e3000626–e3000626. 63 indexed citations

4.

Kaseke, Clarety, Rhoda Tano-Menka, Fernando Senjobe, & Gaurav D. Gaiha. (2020). The Emerging Role for CTL Epitope Specificity in HIV Cure Efforts. The Journal of Infectious Diseases. 223(Supplement_1). S32–S37. 17 indexed citations

5.

Durham, Natasha D., Fernando Senjobe, J. Maximilian Fels, et al.. (2020). Real-Time Analysis of Individual Ebola Virus Glycoproteins Reveals Pre-Fusion, Entry-Relevant Conformational Dynamics. Viruses. 12(1). 103–103. 16 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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