M Silberman

6.2k total citations · 1 hit paper
6 papers, 4.8k citations indexed

About

M Silberman is a scholar working on General Health Professions, Oncology and Economics and Econometrics. According to data from OpenAlex, M Silberman has authored 6 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in General Health Professions, 2 papers in Oncology and 2 papers in Economics and Econometrics. Recurrent topics in M Silberman's work include Health Systems, Economic Evaluations, Quality of Life (2 papers), Cancer survivorship and care (2 papers) and Healthcare professionals’ stress and burnout (1 paper). M Silberman is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (2 papers), Cancer survivorship and care (2 papers) and Healthcare professionals’ stress and burnout (1 paper). M Silberman collaborates with scholars based in United States and Philippines. M Silberman's co-authors include David S. Tulsky, Eric Linn, S B Yellen, David Cella, Amy E. Bonomi, John Snarey, Jeffrey S. Hammer, Nancy J. Johnson, John S. Lyons and Edward S. Baum and has published in prestigious journals such as Journal of Clinical Oncology, General Hospital Psychiatry and Current Psychology.

In The Last Decade

M Silberman

6 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Functional Assessment of Cancer Therapy scale: development and validation of the general measure.

1993 4.7k citations David Cella, David S. Tulsky et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M Silberman United States	4	3.0k	1.3k	1.1k	997	633	6	4.8k
S B Yellen United States	8	4.3k 1.4×	1.9k 1.5×	1.6k 1.5×	1.3k 1.3×	760 1.2×	9	6.9k
M. Groenvold Denmark	22	3.4k 1.1×	982 0.8×	1.3k 1.2×	841 0.8×	1.1k 1.8×	41	5.4k
Eric Linn United States	3	3.0k 1.0×	1.3k 1.0×	1.1k 1.0×	994 1.0×	635 1.0×	6	4.8k
Penelope Hopwood United Kingdom	39	4.6k 1.5×	1.3k 1.0×	1.9k 1.7×	981 1.0×	1.1k 1.7×	103	8.0k
Kimberly Webster United States	25	2.8k 0.9×	1.2k 0.9×	1.2k 1.1×	583 0.6×	426 0.7×	55	5.2k
Victor T. Chang United States	37	2.2k 0.7×	1.6k 1.2×	814 0.8×	1.6k 1.6×	648 1.0×	143	5.1k
Fabio Efficace Italy	46	3.1k 1.0×	1.0k 0.8×	1.5k 1.4×	1.3k 1.3×	962 1.5×	215	6.6k
Juan Ignacio Arrarás Spain	29	2.7k 0.9×	668 0.5×	1.3k 1.2×	913 0.9×	1.4k 2.2×	95	4.9k
Larissa Nekhlyudov United States	41	3.1k 1.0×	1.0k 0.8×	735 0.7×	1.4k 1.4×	360 0.6×	174	5.1k
Joachim Weis Germany	38	4.2k 1.4×	2.0k 1.5×	1.5k 1.4×	1.5k 1.5×	388 0.6×	157	6.2k

Countries citing papers authored by M Silberman

Since Specialization

Citations

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

Fields of papers citing papers by M Silberman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Silberman

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

6 of 6 papers shown

1.

Cella, David, David S. Tulsky, Eric Linn, et al.. (2023). The Functional Assessment of Cancer Therapy Scale: Development and Validation of the General Measure. Journal of Clinical Oncology. 41(35). 5335–5344. 18 indexed citations

2.

Cella, David, David S. Tulsky, Eric Linn, et al.. (1993). The Functional Assessment of Cancer Therapy scale: development and validation of the general measure.. Journal of Clinical Oncology. 11(3). 570–579. 4722 indexed citations breakdown →

3.

Silberman, M & John Snarey. (1993). Gender differences in moral development during early adolescence: The contribution of sex-related variations in maturation. Current Psychology. 12(2). 163–171. 35 indexed citations

4.

Lyons, John S., Jeffrey S. Hammer, Nancy J. Johnson, & M Silberman. (1987). Unit-specific variation in occupational stress across a general hospital. General Hospital Psychiatry. 9(6). 435–438. 7 indexed citations

5.

Lyons, John S., et al.. (1987). Analysis of a Hospital-Based Hospice Program For Terminally Ill Cancer Patients. American Journal of Hospice Care. 4(1). 41–44. 2 indexed citations

6.

Silberman, M, et al.. (1985). One Step at A Time. PubMed. 2(1). 24–30. 2 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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