Nathan M. Kendsersky

1.1k total citations
8 papers, 253 citations indexed

About

Nathan M. Kendsersky is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Nathan M. Kendsersky has authored 8 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Neurology and 2 papers in Cancer Research. Recurrent topics in Nathan M. Kendsersky's work include Neuroblastoma Research and Treatments (5 papers), Heat shock proteins research (3 papers) and Protein Structure and Dynamics (2 papers). Nathan M. Kendsersky is often cited by papers focused on Neuroblastoma Research and Treatments (5 papers), Heat shock proteins research (3 papers) and Protein Structure and Dynamics (2 papers). Nathan M. Kendsersky collaborates with scholars based in United States, United Kingdom and Germany. Nathan M. Kendsersky's co-authors include Alexandrea N. Rizo, James Shorter, Daniel R. Southworth, Edward Chuang, Elizabeth A. Sweeny, Adam L. Yokom, Min Su, Meredith E. Jackrel, Mariana P. Torrente and Stephanie N. Gates and has published in prestigious journals such as Science, Cancer Research and Cell Reports.

In The Last Decade

Nathan M. Kendsersky

6 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan M. Kendsersky United States	4	213	65	43	41	28	8	253
Anthony J. Rampello United States	7	288 1.4×	85 1.3×	17 0.4×	21 0.5×	34 1.2×	7	331
Matthew L. Wohlever United States	10	439 2.1×	168 2.6×	18 0.4×	42 1.0×	91 3.3×	15	506
JiaBei Lin United States	4	283 1.3×	85 1.3×	37 0.9×	52 1.3×	27 1.0×	5	318
Oksana A. Sergeeva United States	10	256 1.2×	79 1.2×	10 0.2×	53 1.3×	26 0.9×	17	333
Jennifer F. Garcia United States	10	692 3.2×	54 0.8×	15 0.3×	8 0.2×	34 1.2×	10	721
Theodora Myrto Perdikari United States	6	376 1.8×	27 0.4×	30 0.7×	19 0.5×	12 0.4×	10	468
Jenny Jiou United States	6	364 1.7×	48 0.7×	84 2.0×	30 0.7×	20 0.7×	12	458
Nieves Lorenzo-Gotor Spain	5	389 1.8×	21 0.3×	24 0.6×	11 0.3×	25 0.9×	5	420
Sabina Schütz Switzerland	9	372 1.7×	133 2.0×	35 0.8×	10 0.2×	21 0.8×	9	476
Marie-Cécile Robert France	9	764 3.6×	79 1.2×	6 0.1×	21 0.5×	63 2.3×	14	823

Countries citing papers authored by Nathan M. Kendsersky

Since Specialization

Citations

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

Fields of papers citing papers by Nathan M. Kendsersky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan M. Kendsersky

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

All Works

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8 of 8 papers shown

1.

Kendsersky, Nathan M., Nathaniel W. Mabe, Alvin Farrel, et al.. (2025). Lineage dependence of the neuroblastoma surfaceome defines tumor cell state-dependent and -independent immunotherapeutic targets. Neuro-Oncology. 27(5). 1372–1384. 1 indexed citations

2.

Lin, JiaBei, Peter J. Carman, Craig W. Gambogi, et al.. (2024). Design principles to tailor Hsp104 therapeutics. Cell Reports. 43(12). 115005–115005.

3.

Samanta, Minu, et al.. (2023). Abstract 6714: ALCAM promotes neuroblastoma proliferation, migration, and immune evasion. Cancer Research. 83(7_Supplement). 6714–6714. 1 indexed citations

4.

Krytska, Kateryna, Jennifer Pogoriler, Daniel Martínez, et al.. (2022). Evaluation of the DLL3-targeting Antibody–Drug Conjugate Rovalpituzumab Tesirine in Preclinical Models of Neuroblastoma. Cancer Research Communications. 2(7). 616–623. 5 indexed citations

5.

Kendsersky, Nathan M., et al.. (2022). Abstract 3889: Identification of ADRN-specific, MES-specific, and pan-subtype therapeutic targets in neuroblastoma. Cancer Research. 82(12_Supplement). 3889–3889.

6.

Modi, Apexa, Khushbu Patel, Nathan M. Kendsersky, et al.. (2020). Epigenomic profiling of neuroblastoma cell lines. Scientific Data. 7(1). 116–116. 36 indexed citations

7.

Chiang, Annette, Antonio Dominguez‐Meijide, Jennifer L. Goeckeler-Fried, et al.. (2018). Synthesis and evaluation of esterified Hsp70 agonists in cellular models of protein aggregation and folding. Bioorganic & Medicinal Chemistry. 27(1). 79–91. 17 indexed citations

8.

Gates, Stephanie N., Adam L. Yokom, JiaBei Lin, et al.. (2017). Ratchet-like polypeptide translocation mechanism of the AAA+ disaggregase Hsp104. Science. 357(6348). 273–279. 193 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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