Neil Sidell

6.5k citations
155 papers · 5.1k · h-index 41

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 35
    • Reproductive System and Pregnancy 32
    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 13

Neil Sidell

154 papers receiving 4.9k citations

Peers

Neil Sidell
Comparison fields: 5 of 124
  • Reproductive Medicine 901
  • Obstetrics and Gynecology 521
  • Immunology 1.3k
  • Neurology 685
  • Molecular Biology 2.6k
Replace Cécile Rochette‐Egly with:
Cécile Rochette‐Egly France
Carlos R. Morales Canada
B. Dastugue France
Robert P. C. Shiu Canada
A. Krust France
Bo R. Rueda United States
Robert J. Mattaliano United States
John R. Shutter United States
Nelly Auersperg Canada
Shaw‐Jenq Tsai Taiwan
Neil Sidell relative to Cécile Rochette‐Egly France Cécile Rochette‐Egly's profile →
Citations per field
00.5×5.9×
Cécile Rochette‐Egly · 1×
Citations per year

Countries citing papers authored by Neil Sidell

Since Specialization
Citations

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

Fields of papers citing papers by Neil Sidell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neil Sidell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neil Sidell Line = papers co-authored together Neil Sidell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982325
2 1983288
3 2008170
4 1989140
5 2008116
6 1992115
7 2016105
8 1991104
9 198397
10 198692
11 200486
12 198979
13 199075
14 201869
15 201468
16
Novel expression and function of peroxisome proliferator-activated receptor gamma (PPARgamma) in human neuroblastoma cells.
200168
17 200467
18 201262
19 200261
20 199158

About Neil Sidell

Neil Sidell is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Neurology and Genetics, having authored 155 papers that have together received 5.1k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (35 papers), Reproductive System and Pregnancy (32 papers), Endometriosis Research and Treatment (24 papers), Neuroblastoma Research and Treatments (21 papers), Estrogen and related hormone effects (18 papers), Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (13 papers) and Pregnancy and preeclampsia studies (12 papers). The work is most often cited by research in Reproductive Medicine (901 citations), Obstetrics and Gynecology (521 citations), Immunology (1.3k citations), Neurology (685 citations) and Molecular Biology (2.6k citations). Neil Sidell has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert N. Taylor, ShouWei Han, L. Wuarin, Elliot Abemayor, Mark R. Haussler, Robert C. Seeger, Jie Yu, Juanjuan Wu, Randal K. Wada and Susumu Hagiwara. Their work appears in journals such as Fertility and Sterility, Reproductive Sciences, Cellular Immunology, International Journal of Cancer and Cancer Letters.

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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