Barbara Nelsen

587 total citations
9 papers, 515 citations indexed

About

Barbara Nelsen is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Barbara Nelsen has authored 9 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Barbara Nelsen's work include NF-κB Signaling Pathways (5 papers), Immune Response and Inflammation (3 papers) and Viral Infections and Immunology Research (2 papers). Barbara Nelsen is often cited by papers focused on NF-κB Signaling Pathways (5 papers), Immune Response and Inflammation (3 papers) and Viral Infections and Immunology Research (2 papers). Barbara Nelsen collaborates with scholars based in United States. Barbara Nelsen's co-authors include Ranjan Sen, Ranjan Sen, Lars Hellman, Bradford Graves, Jean‐Marc Grégoire, Batu Erman, R. Maki, Geng Tian, Karla Kirkegaard and Susan R Compton and has published in prestigious journals such as Science, Molecular and Cellular Biology and Journal of Virology.

In The Last Decade

Barbara Nelsen

9 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara Nelsen United States	9	257	251	120	60	55	9	515
Toyozo Sekiguchi Japan	12	296 1.2×	277 1.1×	55 0.5×	44 0.7×	75 1.4×	34	623
Bakhyt Zhumabayeva Germany	9	65 0.3×	334 1.3×	97 0.8×	93 1.6×	61 1.1×	9	556
André Oumard Germany	12	235 0.9×	283 1.1×	77 0.6×	35 0.6×	171 3.1×	12	500
Kathleen Martincic United States	11	135 0.5×	519 2.1×	66 0.6×	14 0.2×	28 0.5×	11	680
Keyur Vyas United States	7	191 0.7×	323 1.3×	68 0.6×	23 0.4×	117 2.1×	7	478
Yebin Zhou United States	10	182 0.7×	115 0.5×	42 0.3×	29 0.5×	30 0.5×	16	394
P N Tsichlis United States	11	155 0.6×	234 0.9×	23 0.2×	34 0.6×	53 1.0×	12	465
Randolph Wall United States	7	60 0.2×	444 1.8×	23 0.2×	59 1.0×	23 0.4×	9	595
J. Robert Hogg United States	16	82 0.3×	990 3.9×	129 1.1×	109 1.8×	37 0.7×	24	1.1k
Andrea Pullner Germany	7	474 1.8×	361 1.4×	41 0.3×	10 0.2×	73 1.3×	7	834

Countries citing papers authored by Barbara Nelsen

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Nelsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Nelsen

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

Nikolajczyk, Barbara S., Barbara Nelsen, & Ranjan Sen. (1996). Precise Alignment of Sites Required for μ Enhancer Activation in B Cells. Molecular and Cellular Biology. 16(8). 4544–4554. 37 indexed citations

2.

Nelsen, Barbara, Geng Tian, Batu Erman, et al.. (1993). Regulation of lymphoid-specific immunoglobulin mu heavy chain gene enhancer by ETS-domain proteins. Science. 261(5117). 82–86. 197 indexed citations

3.

Nelsen, Barbara & Ranjan Sen. (1992). Regulation of Immunoglobulin Gene Transcription. International review of cytology. 133. 121–149. 45 indexed citations

4.

Nelsen, Barbara, Tom Kadesch, & Ranjan Sen. (1990). Complex Regulation of the Immunoglobulin μ Heavy-Chain Gene Enhancer: μB, a New Determinant of Enhancer Function. Molecular and Cellular Biology. 10(6). 3145–3154. 50 indexed citations

5.

Nelsen, Barbara, et al.. (1990). Complex regulation of the immunoglobulin mu heavy-chain gene enhancer: microB, a new determinant of enhancer function.. Molecular and Cellular Biology. 10(6). 3145–3154. 12 indexed citations

6.

Kirkegaard, Karla & Barbara Nelsen. (1990). Conditional poliovirus mutants made by random deletion mutagenesis of infectious cDNA. Journal of Virology. 64(1). 185–194. 18 indexed citations

7.

Compton, Susan R, Barbara Nelsen, & Karla Kirkegaard. (1990). Temperature-sensitive poliovirus mutant fails to cleave VP0 and accumulates provirions. Journal of Virology. 64(9). 4067–4075. 51 indexed citations

8.

Nelsen, Barbara, Lars Hellman, & Ranjan Sen. (1988). The NF-kappa B-binding site mediates phorbol ester-inducible transcription in nonlymphoid cells.. Molecular and Cellular Biology. 8(8). 3526–3531. 66 indexed citations

9.

Nelsen, Barbara, Lars Hellman, & Ranjan Sen. (1988). The NF-κB-Binding Site Mediates Phorbol Ester-Inducible Transcription in Nonlymphoid Cells. Molecular and Cellular Biology. 8(8). 3526–3531. 39 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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