Bob Gann

533 total citations
12 papers, 350 citations indexed

About

Bob Gann is a scholar working on General Health Professions, Demography and Health Information Management. According to data from OpenAlex, Bob Gann has authored 12 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 3 papers in Demography and 1 paper in Health Information Management. Recurrent topics in Bob Gann's work include Health Literacy and Information Accessibility (6 papers), Mobile Health and mHealth Applications (4 papers) and Patient-Provider Communication in Healthcare (3 papers). Bob Gann is often cited by papers focused on Health Literacy and Information Accessibility (6 papers), Mobile Health and mHealth Applications (4 papers) and Patient-Provider Communication in Healthcare (3 papers). Bob Gann collaborates with scholars based in United Kingdom and Qatar. Bob Gann's co-authors include David Charnock, Sasha Shepperd, Alisha Davies, Gill Needham, Laura Kelly, Angela Martin, Margaret Booth, Crispin Jenkinson, John Powell and Elizabeth Sillence and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Yearbook of Medical Informatics.

In The Last Decade

Bob Gann

12 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bob Gann United Kingdom	8	222	78	60	38	35	12	350
Andrzej Staniszewski Poland	5	250 1.1×	125 1.6×	41 0.7×	49 1.3×	37 1.1×	9	380
Kevin Mahoney United States	10	210 0.9×	107 1.4×	69 1.1×	59 1.6×	33 0.9×	28	440
Kirubel Biruk Shiferaw Ethiopia	10	261 1.2×	86 1.1×	73 1.2×	66 1.7×	30 0.9×	27	492
Donghua Tao United States	11	163 0.7×	34 0.4×	66 1.1×	61 1.6×	23 0.7×	26	353
Angela Falisi United States	9	203 0.9×	84 1.1×	87 1.4×	55 1.4×	14 0.4×	11	357
Haile Berhe United States	6	258 1.2×	58 0.7×	60 1.0×	84 2.2×	22 0.6×	9	382
Eden Abetu Mehari Ethiopia	6	136 0.6×	35 0.4×	50 0.8×	54 1.4×	25 0.7×	14	310
Elliot R. Siegel United States	12	265 1.2×	50 0.6×	39 0.7×	46 1.2×	33 0.9×	44	468
Valerie Monaco United States	9	168 0.8×	85 1.1×	36 0.6×	47 1.2×	13 0.4×	14	334
Anita Ramsetty United States	3	153 0.7×	44 0.6×	144 2.4×	70 1.8×	22 0.6×	8	414

Countries citing papers authored by Bob Gann

Since Specialization

Citations

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

Fields of papers citing papers by Bob Gann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bob Gann

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

12 of 12 papers shown

1.

Davies, Alisha, et al.. (2021). Addressing the Digital Inverse Care Law in the Time of COVID-19: Potential for Digital Technology to Exacerbate or Mitigate Health Inequalities. Journal of Medical Internet Research. 23(4). e21726–e21726. 67 indexed citations

2.

Gann, Bob. (2020). Combating Digital Health Inequality in the Time of Coronavirus. Journal of Consumer Health on the Internet. 24(3). 278–284. 17 indexed citations

3.

Gann, Bob. (2019). Digital Inclusion and Health in Wales. Journal of Consumer Health on the Internet. 23(2). 146–160. 13 indexed citations

4.

Gann, Bob. (2019). Transforming lives: Combating digital health inequality. IFLA Journal. 45(3). 187–198. 21 indexed citations

5.

Gann, Bob. (2018). Digital inclusion in health and care in Wales. 4 indexed citations

6.

Ziébland, Sue, John Powell, Pam Briggs, et al.. (2016). Examining the role of patients’ experiences as a resource for choice and decision-making in health care: a creative, interdisciplinary mixed-method study in digital health. SHILAP Revista de lepidopterología. 4(17). 1–214. 21 indexed citations

7.

Gann, Bob. (2012). Giving Patients Choice and Control: Health Informatics on the Patient Journey. Yearbook of Medical Informatics. 21(1). 70–73. 26 indexed citations

8.

Gann, Bob. (2004). NHS Direct Online: a multi-channel eHealth service.. PubMed. 100. 164–8. 3 indexed citations

9.

Shepperd, Sasha, David Charnock, & Bob Gann. (1999). Helping patients access high quality health information. BMJ. 319(7212). 764–766. 156 indexed citations

10.

Gann, Bob. (1998). Centre for Health Information Quality. Health Libraries Review. 15(4). 295–296. 15 indexed citations

11.

Gann, Bob. (1996). Consumer health information in the year 2000. Aslib Proceedings. 48(10). 241–245. 4 indexed citations

12.

Entwistle, Vikki, et al.. (1994). Sharing outcomes information with consumers: a new course for health librarians. Health Libraries Review. 11(4). 279–282. 3 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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