Ruby M. Lam

888 total citations
10 papers, 530 citations indexed

About

Ruby M. Lam is a scholar working on Physiology, Molecular Biology and Sensory Systems. According to data from OpenAlex, Ruby M. Lam has authored 10 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Molecular Biology and 2 papers in Sensory Systems. Recurrent topics in Ruby M. Lam's work include Erythrocyte Function and Pathophysiology (7 papers), Ion channel regulation and function (3 papers) and Pain Mechanisms and Treatments (2 papers). Ruby M. Lam is often cited by papers focused on Erythrocyte Function and Pathophysiology (7 papers), Ion channel regulation and function (3 papers) and Pain Mechanisms and Treatments (2 papers). Ruby M. Lam collaborates with scholars based in United States, Sweden and Germany. Ruby M. Lam's co-authors include Alexander T. Chesler, Marcin Szczot, Alec R. Nickolls, Carsten G. Bönnemann, Nima Ghitani, Dimah Saade, Lars J. von Buchholtz, Nicholas J. P. Ryba, Sandra Donkervoort and Diana Bharucha‐Goebel and has published in prestigious journals such as Science, Cell and Neuron.

In The Last Decade

Ruby M. Lam

9 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruby M. Lam United States	7	377	269	87	80	71	10	530
M. Rocio Servin‐Vences United States	9	352 0.9×	290 1.1×	62 0.7×	85 1.1×	111 1.6×	12	653
Diana Bharucha‐Goebel United States	12	412 1.1×	473 1.8×	147 1.7×	85 1.1×	92 1.3×	29	825
Meaghan Loud United States	8	564 1.5×	296 1.1×	82 0.9×	86 1.1×	157 2.2×	11	776
David Nguyen United States	6	216 0.6×	182 0.7×	66 0.8×	39 0.5×	57 0.8×	14	398
Leslie H. Hayes United States	3	212 0.6×	170 0.6×	44 0.5×	39 0.5×	54 0.8×	8	319
James H. Thompson United States	5	296 0.8×	189 0.7×	141 1.6×	79 1.0×	33 0.5×	8	457
Johannes Kühnemund Germany	5	236 0.6×	166 0.6×	72 0.8×	59 0.7×	38 0.5×	5	340
Jürgen Wörl Germany	18	112 0.3×	150 0.6×	133 1.5×	77 1.0×	93 1.3×	33	768
Rudi Billeter United Kingdom	17	74 0.2×	596 2.2×	161 1.9×	21 0.3×	25 0.4×	21	1.2k
Yuki Hayano Japan	6	89 0.2×	140 0.5×	114 1.3×	13 0.2×	14 0.2×	6	477

Countries citing papers authored by Ruby M. Lam

Since Specialization

Citations

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

Fields of papers citing papers by Ruby M. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruby M. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Ruby M. Lam. A scholar is included among the top collaborators of Ruby M. Lam 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 Ruby M. Lam. Ruby M. Lam 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.

Lam, Ruby M., et al.. (2025). Noradrenaline Regulation of Brain-Body Communication. Advances in experimental medicine and biology. 1477. 35–61.

2.

Lam, Ruby M., Lars J. von Buchholtz, Mélanie Falgairolle, et al.. (2023). PIEZO2 and perineal mechanosensation are essential for sexual function. Science. 381(6660). 906–910. 26 indexed citations

3.

Servin‐Vences, M. Rocio, Ruby M. Lam, Dimah Saade, et al.. (2023). PIEZO2 in somatosensory neurons controls gastrointestinal transit. Cell. 186(16). 3386–3399.e15. 61 indexed citations

4.

Schrenk-Siemens, Katrin, Jörg Pohle, Ruby M. Lam, et al.. (2022). Human Stem Cell-Derived TRPV1-Positive Sensory Neurons: A New Tool to Study Mechanisms of Sensitization. Cells. 11(18). 2905–2905. 5 indexed citations

5.

Szczot, Marcin, Alec R. Nickolls, Ruby M. Lam, & Alexander T. Chesler. (2021). The Form and Function of PIEZO2. Annual Review of Biochemistry. 90(1). 507–534. 99 indexed citations

6.

Nickolls, Alec R., Marcin Szczot, Ruby M. Lam, et al.. (2020). Transcriptional Programming of Human Mechanosensory Neuron Subtypes from Pluripotent Stem Cells. Cell Reports. 30(3). 932–946.e7. 47 indexed citations

7.

Buchholtz, Lars J. von, Nima Ghitani, Ruby M. Lam, et al.. (2020). Decoding Cellular Mechanisms for Mechanosensory Discrimination. Neuron. 109(2). 285–298.e5. 51 indexed citations

8.

Buchholtz, Lars J. von, Ruby M. Lam, Joshua J. Emrick, Alexander T. Chesler, & Nicholas J. P. Ryba. (2020). Assigning transcriptomic class in the trigeminal ganglion using multiplex in situ hybridization and machine learning. Pain. 161(9). 2212–2224. 28 indexed citations

9.

Nickolls, Alec R., Marcin Szczot, Ruby M. Lam, et al.. (2019). Transcriptional Programming of Human Mechanosensory Neuron Subtypes. SSRN Electronic Journal. 1 indexed citations

10.

Szczot, Marcin, Jaquette Liljencrantz, Nima Ghitani, et al.. (2018). PIEZO2 mediates injury-induced tactile pain in mice and humans. Science Translational Medicine. 10(462). 212 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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