Sarah J. Gross

1.2k total citations
17 papers, 954 citations indexed

About

Sarah J. Gross is a scholar working on Rehabilitation, Cell Biology and Complementary and alternative medicine. According to data from OpenAlex, Sarah J. Gross has authored 17 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Rehabilitation, 13 papers in Cell Biology and 3 papers in Complementary and alternative medicine. Recurrent topics in Sarah J. Gross's work include Muscle metabolism and nutrition (13 papers), Exercise and Physiological Responses (13 papers) and Sports Performance and Training (3 papers). Sarah J. Gross is often cited by papers focused on Muscle metabolism and nutrition (13 papers), Exercise and Physiological Responses (13 papers) and Sports Performance and Training (3 papers). Sarah J. Gross collaborates with scholars based in United States and Canada. Sarah J. Gross's co-authors include David C. Nieman, Charles L. Dumke, Dru A. Henson, Steven R. McAnulty, Lisa S. McAnulty, Alan C. Utter, Robert H. Lind, E. Angela Murphy, John M. Davis and Martin D. Carmichael and has published in prestigious journals such as The FASEB Journal, Journal of Applied Physiology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Sarah J. Gross

16 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah J. Gross United States	11	503	289	287	162	156	17	954
Tony Ashton United Kingdom	16	606 1.2×	269 0.9×	314 1.1×	116 0.7×	281 1.8×	16	1.1k
Melanie D. Austin United States	19	350 0.7×	255 0.9×	532 1.9×	155 1.0×	201 1.3×	29	1.4k
Julien Finaud France	7	444 0.9×	231 0.8×	245 0.9×	56 0.3×	170 1.1×	9	790
L. McAnulty United States	12	599 1.2×	286 1.0×	326 1.1×	49 0.3×	126 0.8×	13	786
George Panayiotou Greece	13	378 0.8×	208 0.7×	244 0.9×	68 0.4×	165 1.1×	24	679
M. M. Kanter United States	11	524 1.0×	347 1.2×	227 0.8×	153 0.9×	193 1.2×	17	924
Manfred Lamprecht Austria	17	337 0.7×	257 0.9×	374 1.3×	143 0.9×	97 0.6×	40	1.1k
Matthew D. Cook United Kingdom	17	227 0.5×	189 0.7×	136 0.5×	134 0.8×	141 0.9×	53	749
Danielle Venturini Brazil	21	196 0.4×	241 0.8×	688 2.4×	56 0.3×	222 1.4×	51	1.2k
Youngju Choi Japan	21	160 0.3×	134 0.5×	451 1.6×	103 0.6×	182 1.2×	81	1.5k

Countries citing papers authored by Sarah J. Gross

Since Specialization

Citations

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

Fields of papers citing papers by Sarah J. Gross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah J. Gross. 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 Sarah J. Gross. The network helps show where Sarah J. Gross may publish in the future.

Co-authorship network of co-authors of Sarah J. Gross

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

All Works

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17 of 17 papers shown

1.

Henson, D. A., David C. Nieman, John M. Davis, et al.. (2008). Post-160-km Race Illness Rates and Decreases in Granulocyte Respiratory Burst and Salivary IgA Output are Not Countered by Quercetin Ingestion. International Journal of Sports Medicine. 29(10). 856–863. 36 indexed citations

2.

Nieman, David C., Dru A. Henson, Mary McMahon, et al.. (2008). β-Glucan, Immune Function, and Upper Respiratory Tract Infections in Athletes. Medicine & Science in Sports & Exercise. 40(8). 1463–1471. 55 indexed citations

3.

Guzmán, Leda, Shobu Odate, Sarah J. Gross, et al.. (2008). GL1001 Inhibition of ACE2 is Gastroprotective in Rat Models of Gastritits. Inflammatory Bowel Diseases. 14. S14–S14. 1 indexed citations

4.

Nieman, David C., Dru A. Henson, J. Mark Davis, et al.. (2007). Quercetin Ingestion Does Not Alter Cytokine Changes in Athletes Competing in the Western States Endurance Run. Journal of Interferon & Cytokine Research. 27(12). 1003–1012. 89 indexed citations

5.

Nieman, David C., Dru A. Henson, Sarah J. Gross, et al.. (2007). Quercetin Reduces Illness but Not Immune Perturbations after Intensive Exercise. Medicine & Science in Sports & Exercise. 39(9). 1561–1569. 136 indexed citations

6.

Henson, Dru A., David C. Nieman, J. Mark Davis, et al.. (2007). Quercetin Ingestion Does Not Alter Cytokine Changes In Athletes Competing in the Western States Endurance Run. Medicine & Science in Sports & Exercise. 39(5). S463–S463. 1 indexed citations

7.

Nieman, David C., Dru A. Henson, John M. Davis, et al.. (2007). Quercetin's influence on exercise-induced changes in plasma cytokines and muscle and leukocyte cytokine mRNA. Journal of Applied Physiology. 103(5). 1728–1735. 117 indexed citations

8.

Henson, Dru A., David C. Nieman, J. Mark Davis, et al.. (2007). Post‐160‐km race illness rates and decreases in granulocyte oxidative burst activity and salivary IgA output are not countered by quercetin ingestion. The FASEB Journal. 21(6). 3 indexed citations

9.

Nieman, David C., et al.. (2006). Relationship between salivary IgA secretion and upper respiratory tract infection following a 160-km race.. PubMed. 46(1). 158–62. 63 indexed citations

10.

Nieman, David C., et al.. (2006). Validation of Cosmed’s FitMate™ in Measuring Oxygen Consumption and Estimating Resting Metabolic Rate. Research in Sports Medicine. 14(2). 89–96. 123 indexed citations

11.

Nieman, David C., Charles L. Dumke, Dru A. Henson, et al.. (2005). Muscle damage is linked to cytokine changes following a 160-km race. Brain Behavior and Immunity. 19(5). 398–403. 141 indexed citations

12.

Nieman, David C., John M. Davis, Dru A. Henson, et al.. (2005). Muscle Cytokine mRNA Changes after 2.5 h of Cycling: Influence of Carbohydrate. Medicine & Science in Sports & Exercise. 37(8). 1283–1290. 101 indexed citations

13.

McAnulty, Steven R., et al.. (2005). Effect of daily fruit ingestion on angiotensin converting enzyme activity, blood pressure, and oxidative stress in chronic smokers. Free Radical Research. 39(11). 1241–1248. 62 indexed citations

14.

Nieman, David C., Dru A. Henson, Charles L. Dumke, et al.. (2005). Muscle Damage Is Linked To Cytokine Changes Following A 160-km Race. Medicine & Science in Sports & Exercise. 37(Supplement). S336–S336. 5 indexed citations

15.

Nieman, David C., Dru A. Henson, Charles L. Dumke, et al.. (2005). Muscle Damage Is Linked To Cytokine Changes Following A 160-km Race. Medicine & Science in Sports & Exercise. 37(Supplement). S336–S336. 11 indexed citations

16.

Gross, Sarah J., David C. Nieman, John M. Davis, et al.. (2005). Skeletal Muscle Cytokine mRNA And Plasma Cytokine Changes After 2.5-h Cycling. Medicine & Science in Sports & Exercise. 37(Supplement). S128–S128. 8 indexed citations

17.

Thompson, R., et al.. (1951). Chorionepithelioma of uterus associated with temporarily negative biologic tests for chorionic gonadotropic hormones. American Journal of Obstetrics and Gynecology. 61(4). 930–933. 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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