Feng Feng

407 total citations
10 papers, 268 citations indexed

About

Feng Feng is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Feng Feng has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Infectious Diseases. Recurrent topics in Feng Feng's work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Evolution and Genetic Dynamics (2 papers). Feng Feng is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Evolution and Genetic Dynamics (2 papers). Feng Feng collaborates with scholars based in United States, Japan and China. Feng Feng's co-authors include Thomas B. Kepler, Takuya Nojima, Masayuki Kuraoka, Akiko Watanabe, Aaron G. Schmidt, Stephen C. Harrison, Garnett Kelsoe, Daisuke Kitamura, Cliburn Chan and Tamarand L. Darling and has published in prestigious journals such as Immunity, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Feng Feng

10 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Feng United States	4	184	69	54	51	37	10	268
Thomas N. Denny United States	8	132 0.7×	76 1.1×	64 1.2×	43 0.8×	30 0.8×	11	226
Kristin Narayan United States	7	59 0.3×	59 0.9×	69 1.3×	78 1.5×	80 2.2×	13	216
Cathrine Scheepers South Africa	9	151 0.8×	108 1.6×	118 2.2×	36 0.7×	64 1.7×	17	291
Li Ren China	9	87 0.5×	102 1.5×	17 0.3×	65 1.3×	62 1.7×	33	252
Caroline L. Ashley Australia	9	140 0.8×	100 1.4×	18 0.3×	91 1.8×	93 2.5×	15	300
Christian A. Lobos Australia	7	162 0.9×	100 1.4×	33 0.6×	20 0.4×	46 1.2×	11	238
Evan M. Cale United States	7	141 0.8×	55 0.8×	18 0.3×	82 1.6×	34 0.9×	11	277
Alexandru Barbulescu United States	3	173 0.9×	56 0.8×	25 0.5×	29 0.6×	53 1.4×	4	239
Michael D. Alpert United States	6	201 1.1×	50 0.7×	87 1.6×	43 0.8×	68 1.8×	8	307
R. Camille Brewer United States	7	93 0.5×	114 1.7×	115 2.1×	35 0.7×	76 2.1×	8	263

Countries citing papers authored by Feng Feng

Since Specialization

Citations

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

Fields of papers citing papers by Feng Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Feng

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Cheng, Long, Sijia Liu, Duo Xu, et al.. (2025). Physiological, ionomic, transcriptomic and metabolomic analyses reveal molecular mechanisms of root adaption to salt stress in water spinach. BMC Genomics. 26(1). 231–231. 2 indexed citations

2.

Feng, Feng, et al.. (2023). Characterizing adjuvants’ effects at murine immunoglobulin repertoire level. iScience. 27(1). 108749–108749. 3 indexed citations

3.

Wang, Yumei, Anna C. Belkina, Rachel Fearns, et al.. (2023). Diversity of B Cell Populations and Ig Repertoire in Human Lungs. The Journal of Immunology. 211(3). 486–496. 3 indexed citations

4.

Darling, Tamarand L., Adam J. Hume, Robert A. Davey, et al.. (2020). Egyptian Rousette IFN-ω Subtypes Elicit Distinct Antiviral Effects and Transcriptional Responses in Conspecific Cells. Frontiers in Immunology. 11. 435–435. 17 indexed citations

5.

Feng, Feng, et al.. (2020). Gain-Scanning for Protein Microarray Assays. Journal of Proteome Research. 19(7). 2664–2675. 2 indexed citations

6.

Kuraoka, Masayuki, Aaron G. Schmidt, Takuya Nojima, et al.. (2016). Complex Antigens Drive Permissive Clonal Selection in Germinal Centers. Immunity. 44(3). 542–552. 206 indexed citations

7.

Kuraoka, Masayuki, Aaron G. Schmidt, Feng Feng, et al.. (2016). B-Cell Selection in Germinal Centers Elicited by Complex Antigens. The Journal of Immunology. 196(1_Supplement). 133.10–133.10. 1 indexed citations

8.

Feng, Feng, et al.. (2012). [Effectiveness comparison between two different methods of anterior transposition of the ulnar nerve in treatment of cubital tunnel syndrome].. PubMed. 26(4). 429–32. 2 indexed citations

9.

Feng, Feng, et al.. (2008). The Multiscale Systems Immunology project: software for cell-based immunological simulation. PubMed. 3(1). 6–6. 21 indexed citations

10.

Zhu, Tuofu, Shiu-Lok Hu, Feng Feng, et al.. (2004). Persistence of low levels of simian immunodeficiency virus in macaques that were transiently viremic by conventional testing. Virology. 323(2). 208–219. 11 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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