Nirit Geva

683 total citations
11 papers, 486 citations indexed

About

Nirit Geva is a scholar working on Physiology, Pharmacology and Behavioral Neuroscience. According to data from OpenAlex, Nirit Geva has authored 11 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Pharmacology and 3 papers in Behavioral Neuroscience. Recurrent topics in Nirit Geva's work include Pain Mechanisms and Treatments (4 papers), Stress Responses and Cortisol (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). Nirit Geva is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Stress Responses and Cortisol (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). Nirit Geva collaborates with scholars based in Israel, Canada and Germany. Nirit Geva's co-authors include Ruth Defrin, Jens C. Pruessner, Shelly Levy‐Tzedek, Florina Uzefovsky, Amir Ayali, Moshe Guershon, Marla B. Sokolowski, Christophe Lucas, Joachim Schönfeld and Eli Sprecher and has published in prestigious journals such as Scientific Reports, Pain and Medicine & Science in Sports & Exercise.

In The Last Decade

Nirit Geva

11 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nirit Geva Israel	10	172	157	112	66	66	11	486
Emily Hill United Kingdom	12	264 1.5×	42 0.3×	74 0.7×	45 0.7×	59 0.9×	23	789
Marie‐Claude Audet Canada	19	121 0.7×	38 0.2×	73 0.7×	260 3.9×	57 0.9×	35	956
Ángel Lago-Rodríguez Spain	14	55 0.3×	71 0.5×	221 2.0×	89 1.3×	35 0.5×	26	645
R K Pratt United Kingdom	14	72 0.4×	165 1.1×	123 1.1×	146 2.2×	15 0.2×	31	965
Jennifer Lewis United Kingdom	14	243 1.4×	562 3.6×	157 1.4×	68 1.0×	89 1.3×	27	929
Brooke K. Keeney United States	5	272 1.6×	53 0.3×	55 0.5×	25 0.4×	10 0.2×	6	598
Alice B. Loughridge United States	9	214 1.2×	25 0.2×	93 0.8×	76 1.2×	33 0.5×	10	634
Louis E. Banderet United States	14	158 0.9×	36 0.2×	74 0.7×	92 1.4×	19 0.3×	34	688
Lauren Harms Australia	18	104 0.6×	34 0.2×	430 3.8×	185 2.8×	172 2.6×	29	1.3k
Ikuko Sato‐Suzuki Japan	14	72 0.4×	22 0.1×	204 1.8×	134 2.0×	69 1.0×	20	660

Countries citing papers authored by Nirit Geva

Since Specialization

Citations

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

Fields of papers citing papers by Nirit Geva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirit Geva

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

All Works

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11 of 11 papers shown

1.

Geva, Nirit, et al.. (2022). Sex effects in the interaction of acute stress and pain perception. Pain. 164(3). 587–597. 11 indexed citations

2.

Geva, Nirit, et al.. (2022). Interaction Matters: The Effect of Touching the Social Robot PARO on Pain and Stress is Stronger When Turned ON vs. OFF. Frontiers in Robotics and AI. 9. 926185–926185. 7 indexed citations

3.

Geva, Nirit, Florina Uzefovsky, & Shelly Levy‐Tzedek. (2020). Touching the social robot PARO reduces pain perception and salivary oxytocin levels. Scientific Reports. 10(1). 9814–9814. 72 indexed citations

4.

Geva, Nirit, et al.. (2018). The type of sport matters: Pain perception of endurance athletes versus strength athletes. European Journal of Pain. 23(4). 686–696. 47 indexed citations

5.

Geva, Nirit & Ruth Defrin. (2017). Opposite Effects of Stress on Pain Modulation Depend on the Magnitude of Individual Stress Response. Journal of Pain. 19(4). 360–371. 36 indexed citations

6.

Brill, Silviu, Eli Sprecher, Frances J.D. Smith, et al.. (2017). Chronic pain in pachyonychia congenita: evidence for neuropathic origin. British Journal of Dermatology. 179(1). 154–162. 15 indexed citations

7.

Geva, Nirit, Jens C. Pruessner, & Ruth Defrin. (2016). Triathletes Lose Their Advantageous Pain Modulation under Acute Psychosocial Stress. Medicine & Science in Sports & Exercise. 49(2). 333–341. 23 indexed citations

8.

Geva, Nirit, Jens C. Pruessner, & Ruth Defrin. (2014). Acute psychosocial stress reduces pain modulation capabilities in healthy men. Pain. 155(11). 2418–2425. 69 indexed citations

9.

Geva, Nirit & Ruth Defrin. (2013). Enhanced pain modulation among triathletes: A possible explanation for their exceptional capabilities. Pain. 154(11). 2317–2323. 146 indexed citations

10.

Lucas, Christophe, et al.. (2010). The locust foraging gene. Archives of Insect Biochemistry and Physiology. 74(1). 52–66. 37 indexed citations

11.

Geva, Nirit, et al.. (2009). Memoirs of a locust: Density-dependent behavioral change as a model for learning and memory. Neurobiology of Learning and Memory. 93(2). 175–182. 23 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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